The Bio-Insect and Artificial Robots Interaction Based on Multi-Agent Reinforcement Learning

Abstract

Multi-agent reinforcement learning is a challenging research topic used in various fields including robotics, artificial intelligence, distributed control, and so on. Recently, there have been lots of efforts to develop multi-agent reinforcement learning theories; but there exist many difficulties in multi-agent reinforcement learning system. In this paper, we introduce our on-going project BRIDS (Bio-insect and artificial Robot Interaction based on Distributed System), which is for interactions between a bio-insect and artificial robots using multi-agent reinforcement learning. The main objective of this project is to drive the bio-insect to the desired position using a group of artificial intelligent robots. Simulation results show that artificial intelligent robots drive the bio-insect to the target position using reinforcement learning.