Introducing MirrorBot, a robot designed to foster human connection
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Introducing MirrorBot, a robot designed to foster human connection

While technology has made the world “smaller,” it has also pulled individuals apart, thanks to mobile phones and other devices that command our attention. Cornell University researchers are using technology, in the form of a mirror-equipped robot, to help bring people together. Members of the Architectural Robotics Lab, led by Keith Evan Green, have built a four-foot-tall robot—dubbed MirrorBot—with dual mirrors that, when placed in front of a pair of strangers, let each participant see themself in one mirror and the other person in the other.While technology has made the world “smaller,” it has also pulled individuals apart, thanks to mobile phones and other devices that command our attention. Cornell University researchers are using technology, in the form of a mirror-equipped robot, to help bring people together. Members of the Architectural Robotics Lab, led by Keith Evan Green, have built a four-foot-tall robot—dubbed MirrorBot—with dual mirrors that, when placed in front of a pair of strangers, let each participant see themself in one mirror and the other person in the other.[#item_full_content]

Air-powered artificial muscles could help robots lift 100 times their weight
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Air-powered artificial muscles could help robots lift 100 times their weight

Researchers at Arizona State University are developing bio-inspired robotic “muscles” that will enable robots to operate in boiling water, survive abrasive surfaces, bypass impediments that keep their motorized counterparts benched, and still lift up to 100 times their own weight. The new heavyweight champions of robotics will be lighter, smaller, and disconnected from a power source.Researchers at Arizona State University are developing bio-inspired robotic “muscles” that will enable robots to operate in boiling water, survive abrasive surfaces, bypass impediments that keep their motorized counterparts benched, and still lift up to 100 times their own weight. The new heavyweight champions of robotics will be lighter, smaller, and disconnected from a power source.[#item_full_content]

Researchers build a robotic swarm with no electronics, no batteries and no brains
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Researchers build a robotic swarm with no electronics, no batteries and no brains

A LEGO brick is not smart. It doesn’t compute. It doesn’t plug in. It just fits. A team of Georgia Tech researchers has applied that logic to robotics. Bolei Deng, an assistant professor in Georgia Tech’s Daniel Guggenheim School of Aerospace Engineering, and Xinyi Yang, an aerospace engineering Ph.D. student, build swarms of tiny robotic particles that latch, release, and reorganize without a single electronic component. No sensors, no processors, and no code.A LEGO brick is not smart. It doesn’t compute. It doesn’t plug in. It just fits. A team of Georgia Tech researchers has applied that logic to robotics. Bolei Deng, an assistant professor in Georgia Tech’s Daniel Guggenheim School of Aerospace Engineering, and Xinyi Yang, an aerospace engineering Ph.D. student, build swarms of tiny robotic particles that latch, release, and reorganize without a single electronic component. No sensors, no processors, and no code.[#item_full_content]

Combining the robot operating system with LLMs for natural-language control
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Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real-world settings, such as in public spaces, homes and office environments, these robots should be able to make sense of instructions provided by human users and adapt their actions accordingly.Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real-world settings, such as in public spaces, homes and office environments, these robots should be able to make sense of instructions provided by human users and adapt their actions accordingly.[#item_full_content]

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]

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.[#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]

AI benchmark helps robots plan and complete their chores in the real world
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No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.[#item_full_content]

Alive or not? Tiny 3D-printed robots that swim and navigate just like animals
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Leiden researchers Professor Daniela Kraft and Mengshi Wei have created microscopic robots that move without sensors, software, or external control. Instead, their behavior emerges entirely from their shape and the way they interact with their environment. They are only a few tens of micrometers long—far smaller than the width of a human hair—yet these robots can swim, sense, navigate and adapt in ways that look surprisingly life-like. And all this without having a brain.Leiden researchers Professor Daniela Kraft and Mengshi Wei have created microscopic robots that move without sensors, software, or external control. Instead, their behavior emerges entirely from their shape and the way they interact with their environment. They are only a few tens of micrometers long—far smaller than the width of a human hair—yet these robots can swim, sense, navigate and adapt in ways that look surprisingly life-like. And all this without having a brain.[#item_full_content]

Video-based AI gives robots a visual imagination
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Video-based AI gives robots a visual imagination

In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots “envision” their actions before carrying them out. The system, which uses video to help robots imagine what might happen next, could transform how robots navigate and interact with the physical world.In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots “envision” their actions before carrying them out. The system, which uses video to help robots imagine what might happen next, could transform how robots navigate and interact with the physical world.[#item_full_content]

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