Abstract

The capabilities of collaborative robotics have transcended the conventional abilities of decentralised robots as it provides benefits such as scalability, flexibility and robustness. Collaborative robots can operate safely in complex human environments without being restricted by the safety cages or barriers that often accompany them. Collaborative robots can be used for various applications such as machine tending, packaging, process tasks and pick and place. This paper proposes an improvement of the current virtual impedance algorithm by developing an adaptive virtual impedance controlled mobile multi-robot system focused on dynamic obstacle avoidance with a controlled planar movement. The study includes the development of a mobile multi-robot platform whereby each robot plans a path individually without a supervisor. The proposed system would implement a two-layered hierarchy for robot path planning. The higher layer generates a trajectory from the current position to the desired position, and the lower layer develops a real-time strategy to follow the generated trajectory while avoiding static and dynamic obstacles. The key contribution of this paper is the adaptive virtual impedance controller for a multi-robot system that will maintain movement stability and improve the motion behaviour in a dynamic environment.

Highlights

  • Mobile ground robots are widely used for various tasks in indoor environments

  • This paper introduces a multi-robot system that is collaborative and autonomous, where each robot has its own local task or goal, but the robots collaborate on global tasks such as mapping

  • The adaptive virtual impedance control algorithm forms part of the two-layered navigation strategy implemented by the paper

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Summary

Introduction

Mobile ground robots are widely used for various tasks in indoor environments. The addition of multiple mobile ground robots is introduced to improve the efficiency of certain tasks, creating a multi-robot system. Developed motion control algorithms allow a mobile robot to avoid static and dynamic obstacles [8,9], while navigating in an indoor environment. Obstacle avoidance algorithms, such as the potential field method [10,11,12], have been widely used. In many implementations, the environment is dynamic and this method is not considered by the paper Another popular obstacle avoidance algorithm is fuzzy control [14,15]. This paper considers the virtual impedance algorithm for obstacle avoidance and local motion control in a multi-robot dynamic environment.

Virtual Impedance Control in a Multi-Robot Environment
Reference Model-Based Control Strategy
Parameters of Adaptation Algorithm
Results
Conclusions and Future Work
Full Text
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