Straight from the depths of AI hell hails Crungus — or somewhere like that, because until a few days ago, nobody knew this thing existed.
Category: robotics/AI – Page 1,308
An electrochemically powered artificial muscle made from twisted carbon nanotubes contracts more when driven faster thanks to a novel conductive polymer coating. Developed by Ray Baughman of the University of Texas at Dallas in the US and an international team, the device overcomes some of the limitations of previous artificial muscles, and could have applications in robotics, smart textiles and heart pumps.
Carbon nanotubes (CNTs) are rolled-up sheets of carbon with walls as thin as a single atom. When twisted together to form a yarn and placed in an electrolyte bath, CNTs expand and contract in response to electrochemical inputs, much like a natural muscle. In a typical set-up, a potential difference between the yarn and an electrode drives ions from the electrolyte into the yarn, causing the muscle to actuate.
While such CNT muscles are highly energy efficient and extremely strong – they can lift loads up to 100,000 times their own weight – they do have limitations. The main one is that they are bipolar, meaning that the direction of their movement switches whenever the potential drops to zero. This reduces the overall stroke of the actuator. Another drawback is that the muscle’s capacitance decreases when the potential is changed quickly, which also causes the stroke to decrease.
Combat robotics
Posted in physics, robotics/AI
TV robot fights are not just entertainment – they can also help turn students on to physics and engineering, as Robert P Crease finds out.
The two 110 kg combat robots squared off. One, known as Poison Arrow, was armed with a toothed spinning drum. Its adversary, Son of Wyachi (SOW), had whirling hammers. Poison Arrow smashed into SOW, sending it flying across the arena. SOW broke its radio receiver as it crash-landed, lying motionless as the referee declared a knockout.
The action took place in 2016 in BattleBots – a US “robot-combat” TV series aired by ABC in 2015–2016, and then by the Discovery Channel since 2018. BattleBots is inspired by the original Robot Wars events held in the US in the 1990s; these events also inspired the famed British TV series Robot Wars. Dubbed “the ultimate robot-fighting competition”, BattleBots features fights to the finish between remote-controlled “bots” that employ an array of destructive weapons.
Pedram Roushan, from Google’s Quantum AI team in California, describes this elusive form of matter – and how it could be simulated on the company’s Sycamore quantum processor.
With their enchanting beauty, crystalline solids have captivated us for centuries. Crystals, which range from snowflakes to diamonds, are made up of atoms or molecules that are regularly arranged in space. They have provided foundational insights that led to the development of the quantum theory of solids. Crystals have also helped develop a framework for understanding other spatially ordered phases, such as superconductors, liquid crystals and ferromagnets.
Periodic oscillations are another ubiquitous phenomenon. They appear at all scales, ranging from atomic oscillations to orbiting planets. For many years, we used them to mark the passage of time, and they even made us ponder the possibility of perpetual motion. What is common between these periodic patterns – either in space or time – is that they lead to systems with reduced symmetries. Without periodicity, any position in space, or any instance of time, is indistinguishable from any other. Periodicity breaks the translational symmetry of space or time.
Materials scientists and bioengineers at the intersection of regenerative medicine and bioinspired materials seek to develop shape-programmable artificial muscles with self-sensing capabilities for applications in medicine. In a new report now published in Science Advances, Haoran Liu and a team of researchers in systems and communications engineering at the Frontier Institute of Science and Technology, Jiaotong University, China, were inspired by the coupled behavior of muscles, bones, and nerve systems of mammals and other living organisms to create a multifunctional artificial muscle in the lab. The construct contained polydopamine-coated liquid crystal elastomer (LCE) and low-melting point alloys (LMPA) in a concentric tube or rod. While the team adopted the outer liquid crystal-elastomer to mimic reversible contraction and recovery, they implemented the inner low-melting point alloy for deformation locking and to detect resistance mechanics, much like bone and nerve functions, respectively. The artificial muscle demonstrated a range of performances, including regulated bending and deformation to support heavy objects, and is a direct and effective approach to the design of biomimetic soft devices.
Soft robotics inspired by the skeleton–muscle–nerve system
Scientists aim to implement biocompatibility between soft robotic elements and human beings for assisted movement and high load-bearing capacity; however, such efforts are challenging. Most traditional robots are still in use in industrial, agricultural and aerospace settings for high-precision sensor-based, load-bearing applications. Several functional soft robots contrastingly depend on materials to improve the security of human-machine interactions. Soft robots are therefore complementary to hard robots and have tremendous potential for applications. Biomimetic constructs have also provided alternative inspiration to emulate the skeleton-muscle-nerve system to facilitate agile movement and quick reaction or thinking, with a unique body shape to fit tasks and perform diverse physiological functions. In this work, Liu et al were inspired by the fascinating idea of biomimicry to develop multifunctional artificial muscles for smart applications.
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You are on PRO Robots channel and in this video we present news of high technologies. Live-skinned robo-opalester, working prototype of the Tesla Bot robot, dream robot of Boston Dynamics founder Mark Rybert, serial launch of Cybertruck and the first jet-powered flying motorcycle! Watch all the most interesting high-tech news in one issue!
0:00 Intro.
0:24 Robo Finger with Live Skin.
1:36 Elon Musk promised to showcase Tesla Bot in September.
2:43 Tesla Cybertruck.
3:48 Speeder P2 Jet Pack.
4:45 ANYmal robot, which on wheels moves better and more carefully.
6:03 China Introduced Artificial Intelligence for Military.
6:28 For the second time, NASA has installed its Lunar Mission SLS rocket.
6:55 Aerotaxis eVTOL VoloConnect.
7:23 Prosperity I Apparatus.
8:12 Pizzaiola robot chef.
8:50 Raspberries assembled by robots.
9:36 GRoW and MetoMotion will make their debut at GreenTech Amsterdam 2022
10:06 Delivery of pizza by drones becomes a reality.
10:37 Car Jidu Robo-1
11:44 Geely recently launched its own unmanned vehicle navigation satellites.
12:06 Robot for manicure.
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Artificial Intelligence trained with first-person videos could better understand our world. At Meta, AR and AI development intersect in this space.
In the run-up to the CVPR 2022 computer vision conference, Meta is releasing the “Project Aria Pilot Dataset,” with more than seven hours of first-person videos spread across 159 sequences in five different locations in the United States. They show scenes from everyday life – doing the dishes, opening a door, cooking, or using a smartphone in the living room.
AI training for everyday life.
Professor Pattie Maes deep insights working with her research team of Joanne Leong, Pat Pataranutaporn, Valdemar Danry are world leading in their translational research on tech-human interaction. Their highly interdisciplinary work covering decades of MIT Lab pioneering inventions integrates human computer interaction (HCI), sensor technologies, AI / machine learning, nano-tech, brain computer interfaces, design and HCI, psychology, neuroscience and much more. I participated in their day-long workshop and followed-up with more than three hours of interviews of which over an hour is transcribed in this article. All insights in this article stem from my daily pro bono work with (now) more than 400,000 CEOs, investors, scientists/experts. MIT Media Lab Fluid Interfaces research team work is particularly key with the June 21 announcement of the Metaverse Standards Forum, a open standards group, with big tech supporting such as Microsoft and Meta, chaired by Neil Trevett, Khronos President and VP Developer Ecosystems at NVIDIA. I have a follow-up interview with Neil and Forbes article in the works. In addition, these recent announcements also highlight why Pattie Maes work is so important: Deep Mind’s Gato multi-modal, multi-task, single generalist agent foundational to artificial general intelligence (AGI); Google’s LaMDA Language Model for Dialogue Applications which can engage in free-flowing dialogue; Microsoft’s Build Conference announcements on Azure AI and OpenAI practical tools / solutions and responsible AI; OpenAI’s DALL-E 2 producing realistic images and art from natural language descriptions.
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🤖 Officially, they’re called “lethal autonomous weapons systems.” Colloquially, they’re called “killer robots.” Either way you’re going to want to read about their future in warfare. 👇
The commander must also be prepared to justify his or her decision if and when the LAWS is wrong. As with the application of force by manned platforms, the commander assumes risk on behalf of his or her subordinates. In this case, a narrow, extensively tested algorithm with an extremely high level of certainly (for example, 99 percent or higher) should meet the threshold for a justified strike and absolve the commander of criminal accountability.
Lastly, LAWS must also be tested extensively in the most demanding possible training and exercise scenarios. The methods they use to make their lethal decisions—from identifying a target and confirming its identity to mitigating the risk of collateral damage—must be publicly released (along with statistics backing up their accuracy). Transparency is crucial to building public trust in LAWS, and confidence in their capabilities can only be built by proving their reliability through rigorous and extensive testing and analysis.
The decision to employ killer robots should not be feared, but it must be well thought-out and meticulously debated. While the future offers unprecedented opportunity, it also comes with unprecedented challenges for which the United States and its allies and partners must prepare.
O No!
A GOOGLE engineer who says the tech giant has created a ‘sentient AI child’ is now claiming it could escape and do “bad things”.
Engineer Blake Lemoine has been suspended by Google, which says he violated its confidentiality policies.
News of Lemoine’s claims broke earlier in June but the 41-year-old software expert has since suggested to Fox News that the AI could escape.