Predicting The Future and Linking the Past: Learning and Constructing Structured Models for Robotic Manipulation

GHC 4405

Abstract: Intelligent robotic agents need to reason about the dynamics of their surrounding world, and use such dynamics reasoning to make future predictions for efficient task planning. In addition, it is also desirable for robots to associate past experience in their memories to their current observation, and conduct analogical reasoning to complete tasks at their [...]