作者: G. Bianco , R. Cassinis
DOI: 10.1109/EURBOT.1996.551889
关键词: Personal robot 、 Mobile robot 、 Social robot 、 Robot 、 Simulation 、 Robot control 、 Human–computer interaction 、 Motion planning 、 Computer science 、 Robot learning 、 Autonomous robot
摘要: The paper presents a proposal for an autonomous robot path planning system that uses several strategies to reach target also in a-priori unknown environment. proposed method has learning capabilities allow the take advantage of previous experience, thus improving its performance during successive traveling same multistrategic approach been tested both on software simulator and real robot.