Robotics
Researchers at Cornell University and the University of California, Berkeley, have developed an a method to automatically generate motions with which robots can express their inability to complete a given task. These generated ...
Robotics
Researchers at MIT Media Lab, the University of Pisa, and Université Libre de Bruxelles have recently explored the feasibility of using swarm robotic systems for autonomous waste management. Their approach, outlined in a ...
Robotics
Researchers at CSIRO & Queensland University of Technology have recently carried out a study aimed at automatically evolving the physical structure of robots to enhance their performance in different environments. This project, ...
Robotics
Researchers at NASA Jet Propulsion Laboratory (JPL), Texas A&M University, and Carnegie Mellon University recently carried out a research project aimed at enabling simultaneous localization and planning (SLAP) capabilities ...
Robotics
Researchers at Sorbonne Universités and CNRS have recently investigated the prerequisites for the emergence of simplified spatial notions in robotic systems, based on on a robot's sensorimotor flow. Their study, pre-published ...
Robotics
Two researchers at the IT University of Copenhagen have recently carried out a fascinating study that introduces the concept of "allusive machines," exploring how technical systems can persuade users into shaping their own ...
Robotics
Researchers at Ecole Centrale de Lyon have recently devised a new developmental framework inspired by the long-term memory and reasoning mechanisms of humans. This framework, outlined in a paper presented at IEEE ICDL-Epirob ...
Robotics
Microhydraulic actuators are designed to convert electrical power into mechanical power on a microscale with more power density and higher efficiency. Essentially, these new actuators work by combining the surface tension ...
Robotics
Researchers at the Italian Institute of Technology (IIT) have recently proposed a coupled-dynamics formalism and a new approach for exploiting helpful interactions with humanoid robots. Their paper, which was pre-published ...
Robotics
Researchers at the University of Edinburgh have developed a hierarchical framework based on deep reinforcement learning (RL) that can acquire a variety of strategies for humanoid balance control. Their framework, outlined ...
