AI Improves Robotic Performance in DARPA’s Machine Common Sense Program

DARPA News  June 22, 2022
A team of researchers in the US(UC Berkeley, Oregon State University, University of Utah, University of Washington) working on DARPA’s Machine Common Sense (MCS) program demonstrated a series of improvements to robotic system performance over the course of multiple experiments. Just as infants must learn from experience, MCS seeks to construct computational models that mimic the core domains of child cognition for objects (intuitive physics), agents (intentional actors), and places (spatial navigation). Using only simulated training, recent MCS experiments demonstrated advancements in systems’ abilities – ranging from understanding how to grasp objects and adapting to obstacles, to changing speed/gait for various goals. By focusing on commonsense, they are creating the possibility for systems to have the flexibility of human learning and the breadth of human knowledge. Fusing this knowledge with advanced robotics could result in highly capable, mission-critical systems that humans will want to have as partners. Videoread more.

Credit: DARPA

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