Title :
Response threshold-based task allocation in a reinforcement learning robotic swarm
Author :
Yasuda, Toshiyuki ; Kage, Koki ; Ohkura, Kazuhiro
Author_Institution :
Inst. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
Abstract :
Swarm robotics is a relatively new research area, established as an application of social insects swarm intelligence to multi-robot systems. This paper focuses on the division of labor, and a response threshold model observed in insect societies is applied to a swarm robotic system that performs food foraging. Each robot has a response threshold for leaving their nest and then making a decision by using a reinforcement learning controller for food-searching. In particular, the effect of response threshold reinforcements is investigated.
Keywords :
learning (artificial intelligence); multi-robot systems; food foraging; multirobot systems; reinforcement learning; reinforcement learning controller; response threshold model; response threshold-based task allocation; social insects; swarm intelligence; swarm robotics; Manuals; Resource management; Robots; Silicon; Food Foraging; Reinforcement Learning; Response Threshold; Swarm Robotics; Task Allocation;
Conference_Titel :
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4799-4771-3
DOI :
10.1109/IWCIA.2014.6988104
