Liu, Jung ChunJung ChunLiuTSUNG-TE LIU2023-07-172023-07-172022-01-01978166548485502714310https://scholars.lib.ntu.edu.tw/handle/123456789/633745A multi-robot system has advantages in complex tasks, where formation control is one of the most critical and fundamental tasks. For small-sized, autonomous, and enduring robots, realizing high energy and area efficiency is extremely important. This paper presents a approach that combines swarm intelligence and reinforcement learning to realize accurate and reliable operations. An area-energy-efficient hardware architecture is proposed to perform formation control in a distributed robotic system. The proposed system demonstrates substantially lower cost and power consumption when compared with the state-of-the-art designs.conference paper10.1109/ISCAS48785.2022.99375722-s2.0-85142512434https://api.elsevier.com/content/abstract/scopus_id/85142512434