A new study by Carnegie Mellon University researchers found that when roboticists and people with disabilities collaborate on robot designs, interesting ideas emerge that could make existing robots more accessible and inspire new uses.A new study by Carnegie Mellon University researchers found that when roboticists and people with disabilities collaborate on robot designs, interesting ideas emerge that could make existing robots more accessible and inspire new uses.[#item_full_content]

When robots come across unfamiliar objects, they struggle to account for a simple truth: Appearances aren’t everything. They may attempt to grasp a block, only to find out it’s a literal piece of cake. The misleading appearance of that object could lead the robot to miscalculate physical properties like the object’s weight and center of mass, using the wrong grasp and applying more force than needed.When robots come across unfamiliar objects, they struggle to account for a simple truth: Appearances aren’t everything. They may attempt to grasp a block, only to find out it’s a literal piece of cake. The misleading appearance of that object could lead the robot to miscalculate physical properties like the object’s weight and center of mass, using the wrong grasp and applying more force than needed.[#item_full_content]

Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.[#item_full_content]

Teams of robots have the potential of tackling far more elaborate missions than individual robots, for instance, covering long distances faster, visiting different sites simultaneously, or monitoring larger geographical areas. Platforms that combine reliable hardware and software for multi-robot applications could help to advance research in this field, facilitating the testing of robot teams in specific real-world settings.Teams of robots have the potential of tackling far more elaborate missions than individual robots, for instance, covering long distances faster, visiting different sites simultaneously, or monitoring larger geographical areas. Platforms that combine reliable hardware and software for multi-robot applications could help to advance research in this field, facilitating the testing of robot teams in specific real-world settings.[#item_full_content]

Researchers at Carnegie Mellon University’s Robotics Institute (RI) have developed a robotic system that interactively co-paints with people. Collaborative FRIDA (CoFRIDA) can work with users of any artistic ability, inviting collaboration to create art in the real world.Researchers at Carnegie Mellon University’s Robotics Institute (RI) have developed a robotic system that interactively co-paints with people. Collaborative FRIDA (CoFRIDA) can work with users of any artistic ability, inviting collaboration to create art in the real world.[#item_full_content]

The eyes of raptors can accurately perceive prey from kilometers away. Is it possible to model camera technology after birds’ eyes? Researchers have developed a new type of camera that is inspired by the structures and functions of birds’ eyes. A research team led by Prof. Kim Dae-Hyeong at the Center for Nanoparticle Research within the Institute for Basic Science (IBS), in collaboration with Prof. Song Young Min at the Gwangju Institute of Science and Technology (GIST), has developed a perovskite-based camera specializing in object detection.The eyes of raptors can accurately perceive prey from kilometers away. Is it possible to model camera technology after birds’ eyes? Researchers have developed a new type of camera that is inspired by the structures and functions of birds’ eyes. A research team led by Prof. Kim Dae-Hyeong at the Center for Nanoparticle Research within the Institute for Basic Science (IBS), in collaboration with Prof. Song Young Min at the Gwangju Institute of Science and Technology (GIST), has developed a perovskite-based camera specializing in object detection.[#item_full_content]

To complete real-world tasks in home environments, offices and public spaces, robots should be able to effectively grasp and manipulate a wide range of objects. In recent years, developers have created various machine learning–based models designed to enable skilled object manipulation in robots.To complete real-world tasks in home environments, offices and public spaces, robots should be able to effectively grasp and manipulate a wide range of objects. In recent years, developers have created various machine learning–based models designed to enable skilled object manipulation in robots.[#item_full_content]

Cambridge researchers have shown that members of the public have little trouble in learning very quickly how to use a third thumb—a controllable, prosthetic extra thumb—to pick up and manipulate objects.Cambridge researchers have shown that members of the public have little trouble in learning very quickly how to use a third thumb—a controllable, prosthetic extra thumb—to pick up and manipulate objects.[#item_full_content]

Snake-inspired robots could have various advantages over conventional wheeled or legged robots. For instance, slithering robots can adapt the shape of their body, enter narrow spaces, and move freely in environments that are inaccessible to both humans and other robots.Snake-inspired robots could have various advantages over conventional wheeled or legged robots. For instance, slithering robots can adapt the shape of their body, enter narrow spaces, and move freely in environments that are inaccessible to both humans and other robots.[#item_full_content]

Inside a lab in Boston University’s College of Engineering, a robot arm drops small, plastic objects into a box placed perfectly on the floor to catch them as they fall. One by one, these tiny structures—feather-light, cylindrical pieces, no bigger than an inch tall—fill the box. Some are red, others blue, purple, green, or black.Inside a lab in Boston University’s College of Engineering, a robot arm drops small, plastic objects into a box placed perfectly on the floor to catch them as they fall. One by one, these tiny structures—feather-light, cylindrical pieces, no bigger than an inch tall—fill the box. Some are red, others blue, purple, green, or black.[#item_full_content]