Robotic system zeroes in on objects most relevant for helping humans
CCES researcher, Xiaotong Zhang, has assisted in the development of a novel robotic system, named “Relevance”, that can intelligently identify and prioritize objects most relevant to assisting humans in various tasks, significantly improving the efficiency, safety, and intuitiveness of robots in real-world applications.