A Causal Approach to Tool Affordance Learning
Jake Brawer,Meiying Qin,Brian Scassellati,Jake Brawer,Meiying Qin,Brian Scassellati
While abstract knowledge like cause-and-effect relations enables robots to problem-solve in new environments, acquiring such knowledge remains out of reach for many traditional machine learning techniques. In this work, we introduce a method for a robot to learn an explicit model of cause-and-effect by constructing a structural causal model through a mix of observation and self-supervised experime...
