人間の探索行動の推定と予測に基づく人間とロボットの共同物体探索の効率化

抄録

The goal of this research is to realize an efficient collaborative object search by a human a robot. For efficient collaborative object search, it is important for the robot to know where the human has searched or will search and share the search areas among them. Human search behavior is estimated by matching the travel time calculated by FMM with the actual elapsed time. In the simulation, it is confirmed that the developed method reduces the amount of duplicated search and enables efficient search.