Q&A: Robots can’t feel, but novel sensors could change that
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Q&A: Robots can’t feel, but novel sensors could change that

A research team, including Huanyu “Larry” Cheng, James L. Henderson Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, is using pressure sensors—tiny devices, roughly the size of a paperclip, that can measure the force applied over an area—to design a highly sensitive electronic “skin” to use alongside robots and prosthetic limbs.A research team, including Huanyu “Larry” Cheng, James L. Henderson Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, is using pressure sensors—tiny devices, roughly the size of a paperclip, that can measure the force applied over an area—to design a highly sensitive electronic “skin” to use alongside robots and prosthetic limbs.[#item_full_content]

Smartwatch-like device could help detect plastic particles in the human bodyon March 30, 2026 at 4:40 pm
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Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.[#item_full_content]

OpenClaw’s creator says 2026 could be the year of general AI agents
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OpenClaw’s creator says 2026 could be the year of general AI agents

Peter Steinberger’s artificial intelligence agent tool OpenClaw has taken the tech world by storm with its ability to execute real-life tasks such as checking him in for his flight to Tokyo.Peter Steinberger’s artificial intelligence agent tool OpenClaw has taken the tech world by storm with its ability to execute real-life tasks such as checking him in for his flight to Tokyo.Machine learning & AI[#item_full_content]

Robots with different bodies can now share skills: What intention-based learning changes
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Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.Robotics[#item_full_content]

Robots with different bodies can now share skills: What intention-based learning changes
0
Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.[#item_full_content]

HEAPGrasp: A faster, smarter way for robots to handle tricky objects
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The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.Robotics[#item_full_content]

HEAPGrasp: A faster, smarter way for robots to handle tricky objects
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The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.[#item_full_content]

Dubious AI detectors drive ‘pay-to-humanize’ scam
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Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Machine learning & AI[#item_full_content]

Life with AI causing human brain ‘fry’
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Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Machine learning & AI[#item_full_content]

Why AI still can’t beat a new video game
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For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.Machine learning & AI[#item_full_content]

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