Manipulation planning using learned symbolic state abstractions
Robotic manipulation planning system. Goals specified symbolically so different geometric solutions can be found. Learned two-way mapping between symbolic and geometric states. Mapping allows a symbolic state to be extracted from a scene. Allows a plan to be translated into a sequence of geometric configurations.
intelligent robots supervised learning automatic planning symbolic reasoning