A framework that could enhance the ability of robots to use physical tools

Researchers at I2R ASTAR Singapore and UM-CNRS LIRMM in France have recently developed a framework that could improve the ability of robots to identify objects in their surroundings that could be potential tools and then use them to complete manual tasks, even if they never encountered these objects before. Their approach, introduced in a paper published in Nature Machine Intelligence, could significantly enhance the ability of robotic systems to complete challenging tasks that might require tools, without the need for any prior tool training.