Leader-Following Based Adaptive Formation Control for Multiple Mobile Robots

Adaptive Neuro-Fuzzy Formation Control for Leader-Follower Mobile Robots

This paper aims to investigate the formation control of multi-robot systems, where the kinematic model of a differentially driven wheeled mobile robot is considered. Based on the graph-theoretic concepts and locally distributed information, an adaptive neural fuzzy formation controller is designed with the capability of on-line learning. The learning rules of controller parameters can be derive...

Leader-Following Formation Navigation for Multiple Robots with Collision Avoidance

This paper deals with a collision avoidance problem in leader-following formation navigation for multiple mobile robots. Because followers should move along a leader’s trajectory, we first try to avoid collisions by adjusting their velocities on the trajectory. This strategy causes delays of the followers from the leader, which is often problematic because we cannot predict how late the followe...

Leader Following Formation Control for Omnidirectional Mobile Robots - The Target Chasing Problem

Leader-follower Formation Control of Mobile Robots with Sliding Mode

This paper considers the formation control of nonholonomic mobile robots. The formation problem is converted to the error model based on the leader-follower structure. A sliding mode controller, which is proved to be globally finite-time stable by Lyapunov stability theory, is presented in this study. In addition, a continuous reaching law is designed to reduce the chattering which caused by th...

Leader-Following Graph-Based Distributed Formation Control

This paper presents the distributed formation control of a multi-agent system using graph theory with emphasis on consensus and cooperation issues. The focal point is to achieve and maintain a formation from any initial condition, with and without a leader that the entire formation must follow. Our analysis framework is based on tools from algebraic graph theory, matrix theory and control theor...