AI models have safeguards in place to prevent them creating dangerous or illegal output, but a range of jailbreaks have been found to evade them. Now researchers show that writing backwards can trick AI models into revealing bomb-making instructions.

Google’s NotebookLM tool is billed as an AI-powered research assistant and can even turn your text history into a jovial fake podcast. But it could also tempt you into narcissism and nostalgia, says Jacob Aron

A type of mathematical problem that was previously impossible to solve can now be successfully analysed with artificial intelligence

Google DeepMind has been using its AI watermarking method on Gemini chatbot responses for months – and now it’s making the tool available to any AI developer

What happens if AI is trained to write choral music by feeding it a specially created vocal dataset? Moving new exhibition The Call tackles some thorny questions about AI and creativity – and stirs the soul with music

Researchers have managed to encode enormous amounts of information, including images, into DNA at a rate hundreds of times faster than was previously possible

A new supercapacitor design that uses only water, clay and graphene could source material on Mars and be more sustainable and accessible than traditional batteries

A lithium-ion battery made from three droplets of hydrogel is the smallest soft battery of its kind – and it could be used in biocompatible and biodegradable implants

The US Census Bureau processes data before publishing it in order to keep personal information private – but a new approach could maintain the same privacy while improving accuracy

Feedback digs into a baffling ad for a mobile game and identifies a new and devilish way to advertise a product online: make it as confusing as possible to encourage people to click (it worked on Feedback)

An off-the-shelf millimetre wave sensor can pick out the tiny vibrations made by a smartphone's speaker, enabling an AI model to transcribe the conversation, even at a distance in a noisy room

I have a confession to make. After taking a handful of autonomous taxi rides, I have gone from a hater to a friend of robot cars in just a few weeks, says Annalee Newitz

Just under 5 per cent of the Wikipedia pages in English that have been published since ChatGPT's release seem to include AI-written content

Four-legged robot dogs learned to perform new tricks by practising in a virtual platform that mimics real-world obstacles – a possible shortcut for training robots faster and more accurately

The controversies surrounding football’s video assistant referee (VAR) system highlight our troubled relationship with uncertainty – and point to potential solutions

Seven major datasets used to train audio-generating AI models are three times more likely to use the words "man" or "men" than "woman" or "women", raising fears of bias

An AI-assisted robot can listen to spoken commands and assemble 3D objects such as chairs and tables out of reusable building blocks

AI and Google Street View have created 'digital twins' of living trees in North American cities – part of a huge simulation that could help make urban tree planting and trimming decisions

Tigerair has again cancelled flights in and out of Denpasar, and there is no sign of the dispute being resolved.

Michael Chamberlain, who has died at 72, will be farewelled at Cooranbong, on the NSW Central Coast.

Only one Australian restaurant made the cut this year in the contentious World’s 50 Best Restaurants list.

After seven years of voicing Elena Ferrante’s ambitious heroine, the Italian actress brings Lenù Greco home.

Treat yourself to a Becky Lynch book signing, games with the Dropout stars, Kevin Smith’s Dogma, and so much more!

The Francis Ford Coppola film is now available to rentalopolis.

Gary is up to his usual schtick with Dani. Will he or the new stews ever learn? (Don’t answer that.)

Here’s everything you need to know about the allegations, diss tracks, and that $12 million NDA.

He just can’t help it.

“It might feel like 2064 on the surface, but in its nostalgic, rechargeable heart, the show parties like it’s 1999.”

It’s the second-shortest book to be awarded the prize.

Who built this ripped, anatomically graphic snowman? Is there a world of snowmen offscreen waiting to be turned into sex objects for widows?

The finale doesn’t look to provide a definitive answer to what drove Aaron’s actions, much to the show’s credit.

Krasinski scores the title of People’s Sexiest Man Alive 2024.

Express Sport writers have decided who should replace Gary Lineker

Gary Lineker is the longest-serving Match of the Day host since the BBC first aired the show in 1964.

Mike Tyson has not fought professionally since suffering a stoppage defeat to Kevin McBride in 2005.

There has been another shock at the Grand Slam of Darts.

Match of the Day presenter Gary Lineker has sealed a new agreement with the BBC just hours after his exit was confirmed.

PGMOL chief Howard Webb has responded after referee David Coote was suspended for comments he appeared to make in a video.

Emma Raducanu struck a deal to return to one of her favourite tournaments.

Former FIA race director Niels Wittich has rejected the motorsport governing body's version regarding his departure.

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDS

IROS 2024: 14–18 October 2024, ABU DHABI, UAE

ICSR 2024: 23–26 October 2024, ODENSE, DENMARK

Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

I think it’s time for us all to admit that some of the most interesting bipedal and humanoid research is being done by Disney.

[ Research Paper from ETH Zurich and Disney Research]

Over the past few months, Unitree G1 robot has been upgraded into a mass production version, with stronger performance, ultimate appearance, and being more in line with mass production requirements.

[ Unitree ]

This robot is from Kinisi Robotics, which was founded by Brennand Pierce, who also founded Bear Robotics. You can’t really tell from this video, but check out the website because the reach this robot has is bonkers.

Kinisi Robotics is on a mission to democratize access to advanced robotics with our latest innovation—a low-cost, dual-arm robot designed for warehouses, factories, and supermarkets. What sets our robot apart is its integration of LLM technology, enabling it to learn from demonstrations and perform complex tasks with minimal setup. Leveraging Brennand’s extensive experience in scaling robotic solutions, we’re able to produce this robot for under $20k, making it a game-changer in the industry.

[ Kinisi Robotics ]

Thanks Bren!

Finally, something that Atlas does that I am also physically capable of doing. In theory.

Okay, never mind. I don’t have those hips.

[ Boston Dynamics ]

Researchers in the Department of Mechanical Engineering at Carnegie Mellon University have created the first legged robot of its size to run, turn, push loads, and climb miniature stairs.

They say it can “run,” but I’m skeptical that there’s a flight phase unless someone sneezes nearby.

[ Carnegie Mellon University ]

The lights are cool and all, but it’s the pulsing soft skin that’s squigging me out.

[ Paper, Robotics Reports Vol.2 ]

Roofing is a difficult and dangerous enough job that it would be great if robots could take it over. It’ll be a challenge though.

[ Renovate Robotics ] via [ TechCrunch ]

Kento Kawaharazuka from JSK Robotics Laboratory at the University of Tokyo wrote in to share this paper, just accepted at RA-L, which (among other things) shows a robot using its flexible hands to identify objects through random finger motion.

[ Paper accepted by IEEE Robotics and Automation Letters ]

Thanks Kento!

It’s one thing to make robots that are reliable, and it’s another to make robots that are reliable and repairable by the end user. I don’t think iRobot gets enough credit for this.

[ iRobot ]

I like competitions where they say, “just relax and forget about the competition and show us what you can do.”

[ MBZIRC Maritime Grand Challenge ]

I kid you not, this used to be my job.

[ RoboHike ]

In the 1960s and 1970s, NASA spent a lot of time thinking about whether toroidal (donut-shaped) fuel tanks were the way to go with its spacecraft. Toroidal tanks have a bunch of potential advantages over conventional spherical fuel tanks. For example, you can fit nearly 40% more volume within a toroidal tank than if you were using multiple spherical tanks within the same space. And perhaps most interestingly, you can shove stuff (like the back of an engine) through the middle of a toroidal tank, which could lead to some substantial efficiency gains if the tanks could also handle structural loads.

Because of their relatively complex shape, toroidal tanks are much more difficult to make than spherical tanks. Even though these tanks can perform better, NASA simply doesn’t have the expertise to manufacture them anymore, since each one has to be hand-built by highly skilled humans. But a company called Machina Labs thinks that they can do this with robots instead. And their vision is to completely change how we make things out of metal.

The fundamental problem that Machina Labs is trying to solve is that if you want to build parts out of metal efficiently at scale, it’s a slow process. Large metal parts need their own custom dies, which are very expensive one-offs that are about as inflexible as it’s possible to get, and then entire factories are built around these parts. It’s a huge investment, which means that it doesn’t matter if you find some new geometry or technique or material or market, because you have to justify that enormous up-front cost by making as much of the original thing as you possibly can, stifling the potential for rapid and flexible innovation.

On the other end of the spectrum you have the also very slow and expensive process of making metal parts one at a time by hand. A few hundred years ago, this was the only way of making metal parts: skilled metalworkers using hand tools for months to make things like armor and weapons. The nice thing about an expert metalworker is that they can use their skills and experience to make anything at all, which is where Machina Labs’ vision comes from, explains CEO Edward Mehr who co-founded Machina Labs after spending time at SpaceX followed by leading the 3D printing team at Relativity Space.

“Craftsmen can pick up different tools and apply them creatively to metal to do all kinds of different things. One day they can pick up a hammer and form a shield out of a sheet of metal,” says Mehr. “Next, they pick up the same hammer, and create a sword out of a metal rod. They’re very flexible.”

The technique that a human metalworker uses to shape metal is called forging, which preserves the grain flow of the metal as it’s worked. Casting, stamping, or milling metal (which are all ways of automating metal part production) are simply not as strong or as durable as parts that are forged, which can be an important differentiator for (say) things that have to go into space. But more on that in a bit.

The problem with human metalworkers is that the throughput is bad—humans are slow, and highly skilled humans in particular don’t scale well. For Mehr and Machina Labs, this is where the robots come in.

“We want to automate and scale using a platform called the ‘robotic craftsman.’ Our core enablers are robots that give us the kinematics of a human craftsman, and artificial intelligence that gives us control over the process,” Mehr says. “The concept is that we can do any process that a human craftsman can do, and actually some that humans can’t do because we can apply more force with better accuracy.”

This flexibility that robot metalworkers offer also enables the crafting of bespoke parts that would be impractical to make in any other way. These include toroidal (donut-shaped) fuel tanks that NASA has had its eye on for the last half century or so.

Machina Labs’ CEO Edward Mehr (on right) stands behind a 15 foot toroidal fuel tank.Machina Labs

“The main challenge of these tanks is that the geometry is complex,” Mehr says. “Sixty years ago, NASA was bump-forming them with very skilled craftspeople, but a lot of them aren’t around anymore.” Mehr explains that the only other way to get that geometry is with dies, but for NASA, getting a die made for a fuel tank that’s necessarily been customized for one single spacecraft would be pretty much impossible to justify. “So one of the main reasons we’re not using toroidal tanks is because it’s just hard to make them.”

Machina Labs is now making toroidal tanks for NASA. For the moment, the robots are just doing the shaping, which is the tough part. Humans then weld the pieces together. But there’s no reason why the robots couldn’t do the entire process end-to-end and even more efficiently. Currently, they’re doing it the “human” way based on existing plans from NASA. “In the future,” Mehr tells us, “we can actually form these tanks in one or two pieces. That’s the next area that we’re exploring with NASA—how can we do things differently now that we don’t need to design around human ergonomics?”

Machina Labs’ ‘robotic craftsmen’ work in pairs to shape sheet metal, with one robot on each side of the sheet. The robots align their tools slightly offset from each other with the metal between them such that as the robots move across the sheet, it bends between the tools. Machina Labs

The video above shows Machina’s robots working on a tank that’s 4.572 m (15 feet) in diameter, likely destined for the Moon. “The main application is for lunar landers,” says Mehr. “The toroidal tanks bring the center of gravity of the vehicle lower than what you would have with spherical or pill-shaped tanks.”

Training these robots to work metal like this is done primarily through physics-based simulations that Machina developed in house (existing software being too slow), followed by human-guided iterations based on the resulting real-world data. The way that metal moves under pressure can be simulated pretty well, and although there’s certainly still a sim-to-real gap (simulating how the robot’s tool adheres to the surface of the material is particularly tricky), the robots are collecting so much empirical data that Machina is making substantial progress towards full autonomy, and even finding ways to improve the process.

An example of the kind of complex metal parts that Machina’s robots are able to make.Machina Labs

Ultimately, Machina wants to use robots to produce all kinds of metal parts. On the commercial side, they’re exploring things like car body panels, offering the option to change how your car looks in geometry rather than just color. The requirement for a couple of beefy robots to make this work means that roboforming is unlikely to become as pervasive as 3D printing, but the broader concept is the same: making physical objects a software problem rather than a hardware problem to enable customization at scale.

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDS

IROS 2024: 14–18 October 2024, ABU DHABI, UAE

ICSR 2024: 23–26 October 2024, ODENSE, DENMARK

Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Imbuing robots with “human-level performance” in anything is an enormous challenge, but it’s worth it when you see a robot with the skill to interact with a human on a (nearly) human level. Google DeepMind has managed to achieve amateur human-level competence at table tennis, which is much harder than it looks, even for humans. Pannag Sanketi, a tech-lead manager in the robotics team at DeepMind, shared some interesting insights about performing the research. But first, video!

Some behind the scenes detail from Pannag:

• The robot had not seen any participants before. So we knew we had a cool agent, but we had no idea how it was going to fare in a full match with real humans. To witness it outmaneuver even some of the most advanced players was such a delightful moment for team!
• All the participants had a lot of fun playing against the robot, irrespective of who won the match. And all of them wanted to play more. Some of them said it will be great to have the robot as a playing partner. From the videos, you can even see how much fun the user study hosts sitting there (who are not authors on the paper) are having watching the games!
• Barney, who is a professional coach, was an advisor on the project, and our chief evaluator of robot’s skills the way he evaluates his students. He also got surprised by how the robot is always able to learn from the last few weeks’ sessions.
• We invested a lot in remote and automated 24x7 operations. So not the setup in this video, but there are other cells that we can run 24x7 with a ball thrower.
• We even tried robot-vs-robot, i.e. 2 robots playing against each other! :) The line between collaboration and competition becomes very interesting when they try to learn by playing with each other.

[ DeepMind ]

Thanks, Heni!

Yoink.

[ MIT ]

Considering how their stability and recovery is often tested, teaching robot dogs to be shy of humans is an excellent idea.

[ Deep Robotics ]

Yes, quadruped robots need tow truck hooks.

[ Paper ]

Earthworm-inspired robots require novel actuators, and Ayato Kanada at Kyushu University has come up with a neat one.

[ Paper ]

Thanks, Ayato!

Meet the AstroAnt! This miniaturized swarm robot can ride atop a lunar rover and collect data related to its health, including surface temperatures and damage from micrometeoroid impacts. In the summer of 2024, with support from our collaborator Castrol, the Media Lab’s Space Exploration Initiative tested AstroAnt in the Canary Islands, where the volcanic landscape resembles the lunar surface.

[ MIT ]

Kengoro has a new forearm that mimics the human radioulnar joint giving it an even more natural badminton swing.

[ JSK Lab ]

Thanks, Kento!

Gromit’s concern that Wallace is becoming too dependent on his inventions proves justified, when Wallace invents a “smart” gnome that seems to develop a mind of its own. When it emerges that a vengeful figure from the past might be masterminding things, it falls to Gromit to battle sinister forces and save his master… or Wallace may never be able to invent again!

[ Wallace and Gromit ]

ASTORINO is a modern 6-axis robot based on 3D printing technology. Programmable in AS-language, it facilitates the preparation of classes with ready-made teaching materials, is easy both to use and to repair, and gives the opportunity to learn and make mistakes without fear of breaking it.

[ Kawasaki ]

Engineers at NASA’s Jet Propulsion Laboratory are testing a prototype of IceNode, a robot designed to access one of the most difficult-to-reach places on Earth. The team envisions a fleet of these autonomous robots deploying into unmapped underwater cavities beneath Antarctic ice shelves. There, they’d measure how fast the ice is melting — data that’s crucial to helping scientists accurately project how much global sea levels will rise.

[ IceNode ]

Los Alamos National Laboratory, in a consortium with four other National Laboratories, is leading the charge in finding the best practices to find orphaned wells. These abandoned wells can leak methane gas into the atmosphere and possibly leak liquid into the ground water.

[ LANL ]

Looks like Fourier has been working on something new, although this is still at the point of “looks like” rather than something real.

[ Fourier ]

Bio-Inspired Robot Hands: Altus Dexterity is a collaboration between researchers and professionals from Carnegie Mellon University, UPMC, the University of Illinois and the University of Houston.

[ Altus Dexterity ]

PiPER is a lightweight robotic arm with six integrated joint motors for smooth, precise control. Weighing just 4.2kg, it easily handles a 1.5kg payload and is made from durable yet lightweight materials for versatile use across various environments. Available for just $2,499 USD.

[ AgileX ]

At 104 years old, Lilabel has seen over a century of automotive transformation, from sharing a single car with her family in the 1920s to experiencing her first ride in a robotaxi.

[ Zoox ]

Traditionally, blind juggling robots use plates that are slightly concave to help them with ball control, but it’s also possible to make a blind juggler the hard way. Which, honestly, is much more impressive.

[ Jugglebot ]

At ICRA 2024, Spectrum editor Evan Ackerman sat down with Unitree founder and CEO Xingxing Wang and Tony Yang, VP of Business Development, to talk about the company’s newest humanoid, the G1 model.

Smaller, more flexible, and elegant, the G1 robot is designed for general use in service and industry, and is one of the cheapest—if not the cheapest—of a new wave of advanced AI humanoid robots.

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDS

IROS 2024: 14–18 October 2024, ABU DHABI, UAE

ICSR 2024: 23–26 October 2024, ODENSE, DENMARK

Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

The National Science Foundation Human AugmentatioN via Dexterity Engineering Research Center (HAND ERC) was announced in August 2024. Funded for up to 10 years and $52 million, the HAND ERC is led by Northwestern University, with core members Texas A&M, Florida A&M, Carnegie Mellon, and MIT, and support from Wisconsin-Madison, Syracuse, and an innovation ecosystem consisting of companies, national labs, and civic and advocacy organizations. HAND will develop versatile, easy-to-use dexterous robot end effectors (hands).

[ HAND ]

The Environmental Robotics Lab at ETH Zurich, in partnership with Wilderness International (and some help from DJI and Audi), is using drones to sample DNA from the tops of trees in the Peruvian rainforest. Somehow, the treetops are where 60 to 90 percent of biodiversity is found, and these drones can help researchers determine what the heck is going on up there.

[ ERL ]

Thanks, Steffen!

1X introduces NEO Beta, “the pre-production build of our home humanoid.”

“Our priority is safety,” said Bernt Børnich, CEO at 1X. “Safety is the cornerstone that allows us to confidently introduce NEO Beta into homes, where it will gather essential feedback and demonstrate its capabilities in real-world settings. This year, we are deploying a limited number of NEO units in selected homes for research and development purposes. Doing so means we are taking another step toward achieving our mission.”

[ 1X ]

We love MangDang’s fun and affordable approach to robotics with Mini Pupper. The next generation of the little legged robot has just launched on Kickstarter, featuring new and updated robots that make it easy to explore embodied AI.

The Kickstarter is already fully funded after just a day or two, but there are still plenty of robots up for grabs.

[ Kickstarter ]

Quadrupeds in space can use their legs to reorient themselves. Or, if you throw one off a roof, it can learn to land on its feet.

To be presented at CoRL 2024.

[ ARL ]

HEBI Robotics, which apparently was once headquartered inside a Pittsburgh public bus, has imbued a table with actuators and a mind of its own.

[ HEBI Robotics ]

Carcinization is a concept in evolutionary biology where a crustacean that isn’t a crab eventually becomes a crab. So why not do the same thing with robots? Crab robots solve all problems!

[ KAIST ]

Waymo is smart, but also humans are really, really dumb sometimes.

[ Waymo ]

The Robotics Department of the University of Michigan created an interactive community art project. The group that led the creation believed that while roboticists typically take on critical and impactful problems in transportation, medicine, mobility, logistics, and manufacturing, there are many opportunities to find play and amusement. The final piece is a grid of art boxes, produced by different members of our robotics community, which offer an eight-inch-square view into their own work with robotics.

[ Michigan Robotics ]

I appreciate that UBTECH’s humanoid is doing an actual job, but why would you use a humanoid for this?

[ UBTECH ]

I’m sure most actuators go through some form of life-cycle testing. But if you really want to test an electric motor, put it into a BattleBot and see what happens.

[ Hardcore Robotics ]

Yes, but have you tried fighting a BattleBot?

[ AgileX ]

In this video, we present collaboration aerial grasping and transportation using multiple quadrotors with cable-suspended payloads. Grasping using a suspended gripper requires accurate tracking of the electromagnet to ensure a successful grasp while switching between different slack and taut modes. In this work, we grasp the payload using a hybrid control approach that switches between a quadrotor position control and a payload position control based on cable slackness. Finally, we use two quadrotors with suspended electromagnet systems to collaboratively grasp and pick up a larger payload for transportation.

[ Hybrid Robotics ]

I had not realized that the floretizing of broccoli was so violent.

[ Oxipital ]

While the RoboCup was held over a month ago, we still wanted to make a small summary of our results, the most memorable moments, and of course an homage to everyone who is involved with the B-Human team: the team members, the sponsors, and the fans at home. Thank you so much for making B-Human the team it is!

[ B-Human ]

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDS

IROS 2024: 14–18 October 2024, ABU DHABI, UAE

ICSR 2024: 23–26 October 2024, ODENSE, DENMARK

Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Researchers at the Max Planck Institute for Intelligent Systems and ETH Zurich have developed a robotic leg with artificial muscles. Inspired by living creatures, it jumps across different terrains in an agile and energy-efficient manner.

[ Nature ] via [ MPI ]

Thanks, Toshi!

ETH Zurich researchers have now developed a fast robotic printing process for earth-based materials that does not require cement. In what is known as “impact printing,” a robot shoots material from above, gradually building a wall. On impact, the parts bond together, and very minimal additives are required.

[ ETH Zurich ]

How could you not be excited to see this happen for real?

[ arXiv paper ]

Can we all agree that sanding, grinding, deburring, and polishing tasks are really best done by robots, for the most part?

[ Cohesive Robotics ]

Thanks, David!

Using doors is a longstanding challenge in robotics and is of significant practical interest in giving robots greater access to human-centric spaces. The task is challenging due to the need for online adaptation to varying door properties and precise control in manipulating the door panel and navigating through the confined doorway. To address this, we propose a learning-based controller for a legged manipulator to open and traverse through doors.

[ arXiv paper ]

Isaac is the first robot assistant that’s built for the home. And we’re shipping it in fall of 2025.

Fall of 2025 is a long enough time from now that I’m not even going to speculate about it.

[ Weave Robotics ]

By patterning liquid metal paste onto a soft sheet of silicone or acrylic foam tape, we developed stretchable versions of conventional rigid circuits (like Arduinos). Our soft circuits can be stretched to over 300% strain (over 4x their length) and are integrated into active soft robots.

[ Science Robotics ] via [ Yale ]

NASA’s Curiosity rover is exploring a scientifically exciting area on Mars, but communicating with the mission team on Earth has recently been a challenge due to both the current season and the surrounding terrain. In this Mars Report, Curiosity engineer Reidar Larsen takes you inside the uplink room where the team talks to the rover.

[ NASA ]

I love this and want to burn it with fire.

[ Carpentopod ]

Very often, people ask us what Reachy 2 is capable of, which is why we’re showing you the manipulation possibilities (through teleoperation) of our technology. The robot shown in this video is the Beta version of Reachy 2, our new robot coming very soon!

[ Pollen Robotics ]

The Scalable Autonomous Robots (ScalAR) Lab is an interdisciplinary lab focused on fundamental research problems in robotics that lie at the intersection of robotics, nonlinear dynamical systems theory, and uncertainty.

[ ScalAR Lab ]

Astorino is a 6-axis educational robot created for practical and affordable teaching of robotics in schools and beyond. It has been created with 3D printing, so it allows for experimentation and the possible addition of parts. With its design and programming, it replicates the actions of #KawasakiRobotics industrial robots, giving students the necessary skills for future work.

[ Astorino ]

I guess fish-fillet-shaping robots need to exist because otherwise customers will freak out if all their fish fillets are not identical, or something?

[ Flexiv ]

Watch the second episode of the ExoMars Rosalind Franklin rover mission—Europe’s ambitious exploration journey to search for past and present signs of life on Mars. The rover will dig, collect, and investigate the chemical composition of material collected by a drill. Rosalind Franklin will be the first rover to reach a depth of up to two meters below the surface, acquiring samples that have been protected from surface radiation and extreme temperatures.

[ ESA ]

This is a sponsored article brought to you by Khalifa University of Science and Technology.

Abu Dhabi-based Khalifa University of Science and Technology in the United Arab Emirates (UAE) will be hosting the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.

aspect_ratio

Themed “Robotics for Sustainable Development,” the IROS 2024 will be held from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) in the UAE’s capital city. It will offer a platform for universities and research institutions to display their research and innovation activities and initiatives in robotics, gathering researchers, academics, leading corporate majors, and industry professionals from around the globe.

A total of 13 forums, nine global-level competitions and challenges covering various aspects of robotics and AI, an IROS Expo, as well as an exclusive Career Fair will also be part of IROS 2024. The challenges and competitions will focus on physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, as well as perception and sensing.

Delegates for the event will represent sectors including manufacturing, healthcare, logistics, agriculture, defense, security, and mining sectors with 60 percent of the talent pool having over six years of experience in robotics. A major component of the conference will be the poster sessions, keynotes, panel discussions by researchers and scientists, and networking events.

Khalifa University will be hosting IROS 2024 to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.Khalifa University

Abu Dhabi ranks first on the world’s safest cities list in 2024, according to online database Numbeo, out of 329 global cities in the 2024 standings, holding the title for eight consecutive years since 2017, reflecting the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents.

With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World Abu Dhabi.

The UAE and Abu Dhabi have increasingly become a center for creative skillsets, human capital and advanced technologies, attracting several international and regional events such as the global COP28 UAE climate summit, in which more than 160 countries participated.

Abu Dhabi city itself has hosted a number of association conventions such as the 34th International Nursing Research Congress and is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

Khalifa University’s Center for Robotics and Autonomous Systems (KU-CARS) includes a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.Khalifa University

Dr. Jorge Dias, IROS 2024 General Chair, said: “Khalifa University is delighted to bring the Intelligent Robots and Systems 2024 to Abu Dhabi in the UAE and highlight the innovations in line with the theme Robotics for Sustainable Development. As the region’s rapidly advancing capabilities in robotics and intelligent transport systems gain momentum, this event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities. By hosting IROS 2024, Khalifa University aims to reaffirm the UAE’s status as a global innovation hub and destination for all industry stakeholders to collaborate on cutting-edge research and explore opportunities for growth within the UAE’s innovation ecosystem.”

“This event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities” —Dr. Jorge Dias, IROS 2024 General Chair

Dr. Dias added: “The organizing committee of IROS 2024 has received over 4000 submissions representing 60 countries, with China leading with 1,029 papers, followed by the U.S. (777), Germany (302), and Japan (253), as well as the U.K. and South Korea (173 each). The UAE with a total of 68 papers comes atop the Arab region.”

Driving innovation at Khalifa University is the Center for Robotics and Autonomous Systems (KU-CARS) with around 50 researchers and state-of-the-art laboratory facilities, including a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/

The software used to control a robot is normally highly adapted to its specific physical set up. But now researchers have created a single general-purpose robotic control policy that can operate robotic arms, wheeled robots, quadrupeds, and even drones.

One of the biggest challenges when it comes to applying machine learning to robotics is the paucity of data. While computer vision and natural language processing can piggyback off the vast quantities of image and text data found on the Internet, collecting robot data is costly and time-consuming.

To get around this, there have been growing efforts to pool data collected by different groups on different kinds of robots, including the Open X-Embodiment and DROID datasets. The hope is that training on diverse robotics data will lead to “positive transfer,” which refers to when skills learned from training on one task help to boost performance on another.

The problem is that robots often have very different embodiments—a term used to describe their physical layout and suite of sensors and actuators—so the data they collect can vary significantly. For instance, a robotic arm might be static, have a complex arrangement of joints and fingers, and collect video from a camera on its wrist. In contrast, a quadruped robot is regularly on the move and relies on force feedback from its legs to maneuver. The kinds of tasks and actions these machines are trained to carry out are also diverse: The arm may pick and place objects, while the quadruped needs keen navigation.

That makes training a single AI model for robots on these large collections of data challenging, says Homer Walke, a Ph.D. student at the University of California, Berkeley. So far, most attempts have either focused on data from a narrower selection of similar robots or researchers have manually tweaked data to make observations from different robots more similar. But in research to be presented at the Conference on Robot Learning (CoRL) in Munich in November, they unveiled a new model called CrossFormer that can train on data from a diverse set of robots and control them just as well as specialized control policies.

“We want to be able to train on all of this data to get the most capable robot,” says Walke. “The main advance in this paper is working out what kind of architecture works the best for accommodating all these varying inputs and outputs.”

How to control diverse robots with the same AI model

The team used the same model architecture that powers large language model, known as a transformer. In many ways, the challenge the researchers were trying to solve is not dissimilar to that facing a chatbot, says Walke. In language modeling, the AI has to to pick out similar patterns in sentences with different lengths and word orders. Robot data can also be arranged in a sequence much like a written sentence, but depending on the particular embodiment, observations and actions vary in length and order too.

“Words might appear in different locations in a sentence, but they still mean the same thing,” says Walke. “In our task, an observation image might appear in different locations in the sequence, but it’s still fundamentally an image and we still want to treat it like an image.”

UC Berkeley/Carnegie Mellon University

Most machine learning approaches work through a sequence one element at a time, but transformers can process the entire stream of data at once. This allows them to analyze the relationship between different elements and makes them better at handling sequences that are not standardized, much like the diverse data found in large robotics datasets.

Walke and his colleagues aren’t the first to train transformers on large-scale robotics data. But previous approaches have either trained solely on data from robotic arms with broadly similar embodiments or manually converted input data to a common format to make it easier to process. In contrast, CrossFormer can process images from cameras positioned above a robot, at head height or on a robotic arms wrist, as well as joint position data from both quadrupeds and robotic arms, without any tweaks.

The result is a single control policy that can operate single robotic arms, pairs of robotic arms, quadrupeds, and wheeled robots on tasks as varied as picking and placing objects, cutting sushi, and obstacle avoidance. Crucially, it matched the performance of specialized models tailored for each robot and outperformed previous approaches trained on diverse robotic data. The team even tested whether the model could control an embodiment not included in the dataset—a small quadcopter. While they simplified things by making the drone fly at a fixed altitude, CrossFormer still outperformed the previous best method.

“That was definitely pretty cool,” says Ria Doshi, an undergraduate student at Berkeley. “I think that as we scale up our policy to be able to train on even larger sets of diverse data, it’ll become easier to see this kind of zero shot transfer onto robots that have been completely unseen in the training.”

The limitations of one AI model for all robots

The team admits there’s still work to do, however. The model is too big for any of the robots’ embedded chips and instead has to be run from a server. Even then, processing times are only just fast enough to support real-time operation, and Walke admits that could break down if they scale up the model. “When you pack so much data into a model it has to be very big and that means running it for real-time control becomes difficult.”

One potential workaround would be to use an approach called distillation, says Oier Mees, a postdoctoral research at Berkley and part of the CrossFormer team. This essentially involves training a smaller model to mimic the larger model, and if successful can result in similar performance for a much smaller computational budget.

But of more importance than the computing resource problem is that the team failed to see any positive transfer in their experiments, as CrossFormer simply matched previous performance rather than exceeding it. Walke thinks progress in computer vision and natural language processing suggests that training on more data could be the key.

Others say it might not be that simple. Jeannette Bohg, a professor of robotics at Stanford University, says the ability to train on such a diverse dataset is a significant contribution. But she wonders whether part of the reason why the researchers didn’t see positive transfer is their insistence on not aligning the input data. Previous research that trained on robots with similar observation and action data has shown evidence of such cross-overs. “By getting rid of this alignment, they may have also gotten rid of this significant positive transfer that we’ve seen in other work,” Bohg says.

It’s also not clear if the approach will boost performance on tasks specific to particular embodiments or robotic applications, says Ram Ramamoorthy, a robotics professor at Edinburgh University. The work is a promising step towards helping robots capture concepts common to most robots, like “avoid this obstacle,” he says. But it may be less useful for tackling control problems specific to a particular robot, such as how to knead dough or navigate a forest, which are often the hardest to solve.

Four decades after the first IEEE International Conference on Robotics and Automation (ICRA) in Atlanta, robotics is bigger than ever. Next week in Rotterdam is the IEEE ICRA@40 conference, “a celebration of 40 years of pioneering research and technological advancements in robotics and automation.” There’s an ICRA every year, of course. Arguably the largest robotics research conference in the world, the 2024 edition was held in Yokohama, Japan back in May.

ICRA@40 is not just a second ICRA conference in 2024. Next week’s conference is a single track that promises “a journey through the evolution of robotics and automation,” through four days of short keynotes from prominent roboticists from across the entire field. You can see for yourself, the speaker list is nuts. There are also debates and panels tackling big ideas, like: “What progress has been made in different areas of robotics and automation over the past decades, and what key challenges remain?” Personally, I’d say “lots” and “most of them,” but that’s probably why I’m not going to be up on stage.

There will also be interactive research presentations, live demos, an expo, and more—the conference schedule is online now, and the abstracts are online as well. I’ll be there to cover it all, but if you can make it in person, it’ll be worth it.

Forty years ago is a long time, but it’s not that long, so just for fun, I had a look at the proceedings of ICRA 1984 which are available on IEEE Xplore, if you’re curious. Here’s an excerpt of the forward from the organizers, which included folks from International Business Machines and Bell Labs:

The proceedings of the first IEEE Computer Society International Conference on Robotics contains papers covering practically all aspects of robotics. The response to our call for papers has been overwhelming, and the number of papers submitted by authors outside the United States indicates the strong international interest in robotics.
The Conference program includes papers on: computer vision; touch and other local sensing; manipulator kinematics, dynamics, control and simulation; robot programming languages, operating systems, representation, planning, man-machine interfaces; multiple and mobile robot systems.
The technical level of the Conference is high with papers being presented by leading researchers in robotics. We believe that this conference, the first of a series to be sponsored by the IEEE, will provide a forum for the dissemination of fundamental research results in this fast developing field.

Technically, this was “ICR,” not “ICRA,” and it was put on by the IEEE Computer Society’s Technical Committee on Robotics, since there was no IEEE Robotics and Automation Society at that time; RAS didn’t get off the ground until 1987.

This is a sponsored article brought to you by Khalifa University of Science and Technology.

A total of eight intense competitions to inspire creativity and innovation along with 13 forums dedicated to diverse segments of robotics and artificial intelligence will be part of the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) in Abu Dhabi.

These competitions at the Middle East and North Africa (MENA) region’s first-ever global conference and exhibition from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) will highlight some of the key aspects of robotics. These include physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, perception and sensing as well as challenges for wildlife preservation.

This edition of IROS is one of the largest of its kind globally in this category because of active participation across all levels, with 5,740 authors, 16 keynote speakers, 46 workshops, 11 tutorials, as well as 28 exhibitors and 12 startups. The forums at IROS will explore the rapidly evolving role of robotics in many industry sectors as well as policy-making and regulatory areas. Several leading corporate majors, and industry professionals from across the globe are gathering for IROS 2024 which is themed “Robotics for Sustainable Development.”

“The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.” —Jorge Dias, IROS 2024 General Chair

Dr. Jorge Dias, IROS 2024 General Chair, said: “Such a large gathering of scientists, researchers, industry leaders and government stakeholders in Abu Dhabi for IROS 2024 also demonstrates the role of UAE in pioneering new technologies and in providing an international platform for knowledge exchange and sharing of expertise. The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.”

The competitions are:

• 2nd AI Olympics With RealAIGym: Is AI Ready for Athletic Intelligence in the Real World? focusing on the physical or athletic intelligence of robots

• The Earth Rovers Challenge on remote robot navigation

• Robotic Construction Challenge and the euROBIN Manipulation Skill Versatility Challenge (MSVC) on robot manipulation

• Underwater Robotics Challenges on innovation and problem-solving in underwater robotics and artificial intelligence

• ROAD-IROS: Automatic Data Annotation Challenge for ROAD Dataset on perception and sensing

• 21st F1Tenth Autonomous Racing Competition

• IEEE RAS Quadruped Robot Challenge (QRC), focusing on navigation

In addition to these competitions, the Falcon Monitoring Challenge (FMC) will focus on advancing the field of wildlife tracking and conservation through the development of sophisticated, noninvasive monitoring systems.

Khalifa University

IROS 2024 will also include three keynote talks on ‘Robotic Competitions’ that will be moderated by Professor Lakmal Seneviratne, Director, Center for Autonomous Robotic Systems (KU-CARS), Khalifa University. The keynotes will be delivered by Professor Pedro Lima, Institute for Systems and Robotics, Instituto Superior Técnico, University of. Lisbon, Portugal; Dr. Timothy Chung, General Manager, Autonomy and Robotics, Microsoft, US; and Dr. Ubbo Visser, President of the RoboCup Federation, Director of Graduate Studies, and Associate Professor of Computer Science, University of Miami, US.

The forums at IROS 2024 will include:

• Robotics in Africa Forum

• Marine Robotics in Ocean Decade Initiative for Sustainable Development

• Robots for Sustainability and Sustainable Robots

• Government Forum: Funding for Robotics Research, Human-Avatars Symbiosis: Can you imagine a future society where you can remotely control multiple avatars?

• Moonshot R&D Program Goal 3 Forum. Envisioning a Future of Human-Robot Co-living: Potential for Robotics to Transform Human Lives

Other forums include:

• Sustainable Medical and Surgical Robotics

• Empowering Diverse Voices in Robotics, Robotics & AI in the UAE: Research Innovation and Entrepreneurship

• Europe Regulates Artificial Intelligence: the Challenge for Robotics, Industrial Opportunities and Socio-Economic Impact of Medical Robotics

• The Future of Work: AI-Enhanced Robotics and Human Interaction Research in M3S

• Robots for a Better Tomorrow: Wellbeing Through Advanced Technology.

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas about the latest advances in intelligent robots and smart machines. A total of 3,344 paper submissions representing 60 countries, have been received from researchers and scientists across the world. China tops the list with more than 1,000 papers, the US with 777, Germany with 302, Japan with 253, and the UK and South Korea with 173 each. The UAE remains top in the Arab region with 68 papers.

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas.

For eight consecutive years since 2017, Abu Dhabi has remained first on the world’s safest cities list, according to online database Numbeo, which assessed 329 global cities for the 2024 listing. This reflects the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents. With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities, and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World™ Abu Dhabi.

Because of its listing as one of the safest cities, Abu Dhabi continues to host several international conferences and exhibitions. Abu Dhabi is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/