Efficient exploration in crowds by coupling navigation controller and exploration planner

• Main Authors: ZHENG, Zhuoqi, HE, Shengfeng, PAN, Jia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Collision avoidance; motion and path planning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7854
• Institution: Singapore Management University

Autonomous exploration in scenes withmoving pedestrians is critical for deploying autonomous mobile robots in populated places such as malls, airports, and museums. The existence of dynamic obstacles poses challenges on achieving an efficient, safe, and robust exploration system: the robot may get s...