Title :
Algorithm for foraging and building task on a novel swarm robotic platform
Author :
Yuquan Leng ; Yang Zhang ; Xu He ; Weijia Zhou
Author_Institution :
State Key Lab. of Robot., Univ. of Chinese Acad. of Sci., Shenyang, China
Abstract :
Foraging Task is a typical task on swarm robotic and Building Task (extend from blocks world) is widely used for testing performance of task planning in multi-robots. In this paper we combine foraging and building task as a new type task and implement on our swarm robotic system-SociBuilder. The platform is composed of three parts: active region, modules and many robots called Socibots. In order to execute the task automatically and effectively, we propose a new system architecture including three layers: human-computer interaction layer (HCI), planning layer and execution layer. For the same reason, we put forward a novel algorithm to adjust individual behavior dynamically. As a result of our experiments, Socibots use only local information and do not need communication with others in forage, and fewer individuals are centralized control for building task. The architecture and algorithm are effective in swarm robotics, which guide system to perform complex task with less burden.
Keywords :
centralised control; human computer interaction; multi-robot systems; path planning; HCI; SociBuilder; Socibots; building task; centralized control; execution layer; foraging task; human-computer interaction layer; multi-robot system; planning layer; swarm robotic platform; task planning; Buildings; Planning; Resource management; Robot kinematics; Robot sensing systems; Visualization;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
DOI :
10.1109/ROBIO.2014.7090716