Multi-modal push planner for humanoid robots

摘要

Multi-modal planning method and system that search a path for the most constrained mode first, and then expands the searches for path in a less constrained mode. By searching the path for the most constrained mode first, less resource are wasted on searching for paths that does not result in a feasible path in the most constrained mode. Multi-modal planning is performed by precomputing feasibility and utility of transition configurations of two adjacent modes. The feasibility is used to exclude non-feasible transition configurations in the most constrained mode from being sampled. The utility is used to bias sampling of the transition configuration so that transition configurations with higher utility are sampled with higher probability. Paths of configurations with higher utility and efficiency are obtained by biasing the sampling of the transition configurations.