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#439252 The Cheetah’s Fluffy Tail Points ...

Almost but not quite a decade ago, researchers from UC Berkeley equipped a little robotic car with an actuated metal rod with a weight on the end and used it to show how lizards use their tails to stabilize themselves while jumping through the air. That research inspired a whole bunch of other tailed mobile robots, including a couple of nifty ones from Amir Patel at the University of Cape Town.

The robotic tails that we’ve seen are generally actuated inertial tails: a moving mass that goes one way causes the robot that it’s attached to to go the other way. This is how lizard tails work, and it’s a totally fine way to do things. In fact, people generally figured that many if not most other animals that use their tails to improve their agility leverage this inertial principle, including (most famously) the cheetah. But at least as far as the cheetah was concerned, nobody had actually bothered to check, until Patel took the tails from a collection of ex-cheetahs and showed that in fact cheetah tails are almost entirely fluff. So if it’s not the mass of its tail that helps a cheetah chase down prey, then it must be the aerodynamics.

The internet is full of wisdom on cheetah tails, and most of it describes “heavy” tails that “act as a counterbalance” to the rest of the cheetah’s body. This makes intuitive sense, but it’s also quite wrong, as Amir Patel figured out:

The aerodynamics of cheetah tails are super important, and actually something I discovered by accident! Towards the end of my PhD I was invited to a cheetah autopsy at the National Zoological Gardens here in South Africa. The idea was to weigh and measure the inertia of the cheetah tail because no such data existed. Based on what I’d seen in wildlife documentaries (and speaking to any game ranger in South Africa), the cheetah tail is often considered to be heavy, and used as a counterweight.

However, once we removed the fur and skin from the tail during the autopsy, it was surprisingly skinny! We measured it (and the tails of another 6 cheetahs) as being only about 2 percent of the body mass—much lower than my own robotic tails. But the fur made up a significant volume of the tail. So, I figured that there must be something to it: maybe the fur was making the tail appear like a larger object aerodynamically, without the weight penalty of an inertial tail.

A few years ago, Patel started to characterize tail aerodynamics in partnership with Aaron Johnson’s lab at CMU, and that work has lead to a recent paper published in IEEE Transactions on Robotics, exploring how aerodynamic drag on a lightweight tail can help robots perform dynamic behaviors more successfully.

The specific tail design that Minitaur is sporting in the video above doesn’t look particularly cheetah-like, being made out of carbon fiber and polyethylene film rather than floof, and only sporting an aerodynamic component at the end of the tail rather than tip to butt. This is explained by cheetahs in the wild not having easy access to either carbon fiber or polyethylene, and by a design that the researchers optimized to maximize drag while minimizing mass rather than for biomimicry. “We experimented with a whole array of furry tails to mimic cheetah fur, but found that the half cylinder shape had by far the most drag,” first author Joseph Norby told us in an email. “And the reduction of the drag component to just the end of the tail was a balance of effectiveness and rigidity—we could have made the drag component cover the entire length, but really the section near the tip produces most of the drag, and reducing the length of the drag component helps maintain the shape of the tail.”

Aerodynamic tails are potentially appealing because unlike inertial tails, the amount of torque that they can produce doesn't depend on how much they weigh, but rather with the velocity at which the robot is moving: the faster the robot goes, the more torque an aerodynamic tail can produce. We see this in animals, too, with fluffy tails commonly found on fast movers and jumpers like jerboas and flying squirrels. This offers some suggestion about what kind of robots could benefit most from tails like these, although as Norby points out, the greatest limitation of these tails is the large workspace required for the tail to move around safely.

Image: Norby et al

A variety of animals (and one robot) with aerodynamic drag tails, including a jerboa and giant Indian squirrel.

While this paper is focused on quantifying the effects of aerodynamic drag on robotic tails, it seems like there’s a lot of potential for some really creative designs—we were wondering about tails with adjustable floofitude, for example, and we asked Norby about some ways in which this research might be extended.

I think a foldable or retractable tail would greatly improve practicality by reducing the workspace when the tail is not needed. Essentially all of the animals we studied had some sort of flexibility to their tails, which I believe is a crucial property for improving both practicality and durability. In a similar vein, we've also thought about employing active or passive designs that could quickly modify the drag coefficient, whether by furling and unfurling, or simply rotating an asymmetric tail like our half cylinder. This could perhaps allow new forms of control similar to paddling and feathering a canoe: increasing drag when moving in one direction and reducing drag in the other could allow for more net control authority. This would be completely impossible with an inertial tail, which cannot do work on the environment.

Photo: Evan Ackerman/IEEE Spectrum

Gratuitous cheetah picture.

Even though animals had the idea for lightweight aerodynamic drag tails first, there’s no reason why we need to restrict ourselves to animal-like form factors when leveraging the advantages that tails like these offer, or indeed with the designs of the tails themselves. Without a mass penalty to worry about, why not put tails on any robot that has trouble keeping its balance, like pretty much every bipedal robot, right? Of course there are plenty of reasons not to do this, but still, it’s exciting to see this whole design space of aerodynamic drag tails potentially open up for any robot platform that needs a little bit of help with dynamic motion.

Enabling Dynamic Behaviors With Aerodynamic Drag in Lightweight Tails, by Joseph Norby, Jun Yang Li, Cameron Selby, Amir Patel, and Aaron M. Johnson from CMU and the University of Cape Town is published in IEEE Transactions on Robotics. Continue reading

Posted in Human Robots

#439251 Is AI the Future of Training for New ...

Everywhere you look in technology today, you find buzz about the promise of emergent technologies such as machine learning (ML) and artificial intelligence (AI). From curating the content that we watch on streaming services to finding ways to improve intense logistical processes, ML- and AI-based technologies already impact our lives in many ways. Increasingly, these …

The post Is AI the Future of Training for New Employees? appeared first on TFOT. Continue reading

Posted in Human Robots

#439204 Researchers create AiFoam for robots to ...

Robots and machines are getting smarter with the advancement of artificial intelligence, but they still lack the ability to touch and feel their subtle and complex surroundings like human beings. Now, researchers from the National University of Singapore (NUS) have invented a smart foam that can give machines more than a human touch. Continue reading

Posted in Human Robots

#439192 Too Perilous For AI? EU Proposes ...

As part of its emerging role as a global regulatory watchdog, the European Commission published a proposal on 21 April for regulations to govern artificial intelligence use in the European Union.

The economic stakes are high: the Commission predicts European public and private investment in AI reaching €20 billion a year this decade, and that was before the additional earmark of up to €134 billion earmarked for digital transitions in Europe’s Covid-19 pandemic recovery fund, some of which the Commission presumes will fund AI, too. Add to that counting investments in AI outside the EU but which target EU residents, since these rules will apply to any use of AI in the EU, not just by EU-based companies or governments.

Things aren’t going to change overnight: the EU’s AI rules proposal is the result of three years of work by bureaucrats, industry experts, and public consultations and must go through the European Parliament—which requested it—before it can become law. EU member states then often take years to transpose EU-level regulations into their national legal codes.

The proposal defines four tiers for AI-related activity and differing levels of oversight for each. The first tier is unacceptable risk: some AI uses would be banned outright in public spaces, with specific exceptions granted by national laws and subject to additional oversight and stricter logging and human oversight. The to-be-banned AI activity that has probably garnered the most attention is real-time remote biometric identification, i.e. facial recognition. The proposal also bans subliminal behavior modification and social scoring applications. The proposal suggests fines of up to 6 percent of commercial violators’ global annual revenue.

The proposal next defines a high-risk category, determined by the purpose of the system and the potential and probability of harm. Examples listed in the proposal include job recruiting, credit checks, and the justice system. The rules would require such AI applications to use high-quality datasets, document their traceability, share information with users, and account for human oversight. The EU would create a central registry of such systems under the proposed rules and require approval before deployment.

Limited-risk activities, such as the use of chatbots or deepfakes on a website, will have less oversight but will require a warning label, to allow users to opt in or out. Then finally there is a tier for applications judged to present minimal risk.

As often happens when governments propose dense new rulebooks (this one is 108 pages), the initial reactions from industry and civil society groups seem to be more about the existence and reach of industry oversight than the specific content of the rules. One tech-funded think tank told the Wall Street Journal that it could become “infeasible to build AI in Europe.” In turn, privacy-focused civil society groups such as European Digital Rights (EDRi) said in a statement that the “regulation allows too wide a scope for self-regulation by companies.”

“I think one of the ideas behind this piece of regulation was trying to balance risk and get people excited about AI and regain trust,” saysLisa-Maria Neudert, AI governance researcher at the University of Oxford, England, and the Weizenbaum Institut in Berlin, Germany. A 2019 Lloyds Register Foundation poll found that the global public is about evenly split between fear and excitement about AI.

“I can imagine it might help if you have an experienced large legal team,” to help with compliance, Neudert says, and it may be “a difficult balance to strike” between rules that remain startup-friendly and succeed in reining in mega-corporations.

AI researchers Mona Sloane and Andrea Renda write in VentureBeat that the rules are weaker on monitoring of how AI plays out after approval and launch, neglecting “a crucial feature of AI-related risk: that it is pervasive, and it is emergent, often evolving in unpredictable ways after it has been developed and deployed.”

Europe has already been learning from the impact its sweeping 2018 General Data Protection Regulation (GDPR) had on global tech and privacy. Yes, some outside websites still serve Europeans a page telling them the website owners can’t be bothered to comply with GDPR, so Europeans can’t see any content. But most have found a way to adapt in order to reach this unified market of 448 million people.

“I don’t think we should generalize [from GDPR to the proposed AI rules], but it’s fair to assume that such a big piece of legislation will have effects beyond the EU,” Neudert says. It will be easier for legislators in other places to follow a template than to replicate the EU’s heavy investment in research, community engagement, and rule-writing.

While tech companies and their industry groups may grumble about the need to comply with the incipient AI rules, Register columnist Rupert Goodwin suggests they’d be better off focusing on forming the industry groups that will shape the implementation and enforcement of the rules in the future: “You may already be in one of the industry organizations for AI ethics or assessment; if not, then consider them the seeds from which influence will grow.” Continue reading

Posted in Human Robots

#439187 Video Friday: Good Robots for Bad Knees

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!):

ICRA 2021 – May 30-5, 2021 – [Online Event]
RoboCup 2021 – June 22-28, 2021 – [Online Event]
DARPA SubT Finals – September 21-23, 2021 – Louisville, KY, USA
WeRobot 2021 – September 23-25, 2021 – Coral Gables, FL, USA
IROS 2021 – September 27-1, 2021 – [Online Event]
ROSCon 20201 – October 21-23, 2021 – New Orleans, LA, USA
Let us know if you have suggestions for next week, and enjoy today's videos.

Ascend is a smart knee orthosis designed to improve mobility and relieve knee pain. The customized, lightweight, and comfortable design reduces burden on the knee and intuitively adjusts support as needed. Ascend provides a safe and non-surgical solution for patients with osteoarthritis, knee instability, and/or weak quadriceps.

Each one of these is custom-built, and you can pre-order one now.

[ Roam Robotics ]

Ingenuity’s third flight achieved a longer flight time and more sideways movement than previously attempted. During the 80-second flight, the helicopter climbed to 16 feet (5 meters) and flew 164 feet (50 meters) downrange and back, for a total distance of 328 feet (100 meters). The third flight test took place at “Wright Brothers Field” in Jezero Crater, Mars, on April 25, 2021.

[ NASA ]

This right here, the future of remote work.

The robot will run you about $3,000 USD.

[ VStone ] via [ Robotstart ]

Texas-based aerospace robotics company, Wilder Systems, enhanced their existing automation capabilities to aid in the fight against COVID-19. Their recent development of a robotic testing system is both increasing capacity for COVID-19 testing and delivering faster results to individuals. The system conducts saliva-based PCR tests, which is considered the gold standard for COVID testing. Based on a protocol developed by Yale and authorized by the FDA, the system does not need additional approvals. This flexible, modular system can run up to 2,000 test samples per day, and can be deployed anywhere where standard electric power is available.

[ ARM Institute ]

Tests show that people do not like being nearly hit by drones.

But seriously, this research has resulted in some useful potential lessons for deploying drones in areas where they have a chance of interacting with humans.

[ Paper ]

The Ingenuity helicopter made history on April 19, 2021, with the first powered, controlled flight of an aircraft on another planet. How do engineers talk to a helicopter all the way out on Mars? We’ll hear about it from Nacer Chahat of NASA’s Jet Propulsion Laboratory, who worked on the helicopter’s antenna and telecommunication system.

[ NASA ]

A team of scientists from the Max Planck Institute for Intelligent Systems has developed a system with which they can fabricate miniature robots building block by building block, which function exactly as required.

[ Max Planck Institute ]

Well this was inevitable, wasn't it?

The pilot regained control and the drone was fine, though.

[ PetaPixel ]

NASA’s Ingenuity Mars Helicopter takes off and lands in this video captured on April 25, 2021, by Mastcam-Z, an imager aboard NASA’s Perseverance Mars rover. As expected, the helicopter flew out of its field of vision while completing a flight plan that took it 164 feet (50 meters) downrange of the landing spot. Keep watching, the helicopter will return to stick the landing. Top speed for today's flight was about 2 meters per second, or about 4.5 miles-per-hour.

[ NASA ]

U.S. Naval Research Laboratory engineers recently demonstrated Hybrid Tiger, an electric unmanned aerial vehicle (UAV) with multi-day endurance flight capability, at Aberdeen Proving Grounds, Maryland.

[ NRL ]

This week's CMU RI Seminar is by Avik De from Ghost Robotics, on “Design and control of insect-scale bees and dog-scale quadrupeds.”

Did you watch the Q&A? If not, you should watch the Q&A.

[ CMU ]

Autonomous quadrotors will soon play a major role in search-and-rescue, delivery, and inspection missions, where a fast response is crucial. However, their speed and maneuverability are still far from those of birds and human pilots. What does it take to make drones navigate as good or even better than human pilots?

[ GRASP Lab ]

With the current pandemic accelerating the revolution of AI in healthcare, where is the industry heading in the next 5-10 years? What are the key challenges and most exciting opportunities? These questions will be answered by HAI’s Co-Director, Fei-Fei Li and the Founder of DeepLearning.AI, Andrew Ng in this fireside chat virtual event.

[ Stanford HAI ]

Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people with disabilities worldwide. Yet, physical robotic assistance presents several challenges, including risks associated with physical human-robot interaction, difficulty sensing the human body, and a lack of tools for benchmarking and training physically assistive robots. In this talk, I will present techniques towards addressing each of these core challenges in robotic caregiving.

[ GRASP Lab ]

What does it take to empower persons with disabilities, and why is educating ourselves on this topic the first step towards better inclusion? Why is developing assistive technologies for people with disabilities important in order to contribute to their integration in society? How do we implement the policies and actions required to enable everyone to live their lives fully? ETH Zurich and the Global Shapers Zurich Hub invited to an online dialogue on the topic “For a World without Barriers-Removing Obstacles in Daily Life for People with Disabilities.”

[ Cybathlon ] Continue reading

Posted in Human Robots