Trust between humans and robots is improved when the movement between both is harmonized, researchers have discovered.
In a review paper published recently in Science Robotics a cognitive roboticist, cognitive psychologist and a psychiatrist discuss the concept of "sense of self" in humans, and they explore how robots can be used to better understand the phenomenon.
Four-legged animals that start walking and gradually pick up speed will automatically fall into a trot at some point. This is because it would take more energy not to change gait. This correlation was discovered more than 40 years ago. Now, Alin Albu-Schäffer, a professor at the Chair of Sensor-based Robotic Systems and Intelligent Assistance Systems at TUM, has successfully transferred this method to the movement of robots.
The deployment of robot teams could allow humans to complete various real-world tasks faster and more efficiently. For instance, multiple co-operating robots could help to quickly find and rescue survivors of natural disasters or monitor pollution across large geographical areas.
Navigating the harsh terrain of other rocky worlds has consistently been challenging. The Free Spirit campaign unfortunately failed in its goal to will the plucky Martian rover out of the morass it found itself in, despite two years of continual effort from some of the world's best engineers.
Most people think of coffee cups, bathroom tiles or flower pots when they hear the word "ceramic." Not so Frank Clemens. For the research group leader in Empa's Laboratory for High-Performance Ceramics, ceramics can conduct electricity, be intelligent, and even feel.
A new study from AI experts at the University of Oxford and University of Melbourne reveals that men are much more likely to support the idea of being cared for in their homes by a robot when they are infirm or elderly, than women.
New technology that enables robots to work stably in turbulent seas could make it cheaper, faster and safer to maintain offshore wind farms and tidal turbines, researchers say.
A multi-institutional trio of roboticists has designed and built a robot that mimics the abilities of the dung beetle. In their paper published in the journal Advanced Science, Binggwong Leung, Stanislav Gorb and Poramate Manoonpong outline their reasons for building it and describe how well it worked when tested.
A team of roboticists and engineers at MIT CSAIL, Institute for AI and Fundamental Interactions, has developed a generative AI approach to teaching robots how to traverse terrain and move around objects in the real world.
In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.
A research team has recently published a study titled "Topology, dynamics, and control of a muscle-architected soft arm," in Proceedings of the National Academy of Sciences. The paper, which made the cover, describes an unprecedented computational model that captures the intricate muscular architecture of an octopus arm.
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors.
Robots are supposed to do boring or unpleasant jobs for us. However, tedious tasks such as cleaning the bathroom are challenging to automate. How is it possible to calculate the movement of a robot arm so that it can reach every part of a washbasin? What if the basin has unusually curved edges? How much force should be applied at which point?
A research team, led by Professor Hoon Eui Jeong from the Department of Mechanical Engineering at UNIST has introduced an innovative magnetic composite artificial muscle, showcasing an impressive ability to withstand loads comparable to those of automobiles. This material achieves a stiffness enhancement of more than 2,700 times compared to conventional systems. The study is published in Nature Communications.