A Control Strategy for Multi-Robot System Navigating in a Dynamic Environment

Ting Wang, Ryad Chellali, Yang Yi, Wen Qin, Mingzhu Wei

College of Electric Engineering and Control Science, Nanjing Tech University, Nanjing, China.

DOI: 10.4236/jcc.2015.311016                

Abstract

This paper introduces a new control strategy for heterogeneous multi-robots systems dedicated to industrial logistic setups. This control strategy is based on both distributed intelligence and machine learning and involves three parts: the rigid formation controller, the perception system and the path planner. Our controller is event-based and thus its control-coordination strategy can be self-adaptive and applied to real dynamic environment. During the navigating process, the multi-robots system derives the environment model, performs the path planning process that guaranties both the transportation constraints and the obstacle avoidance. For the validation, both simulation and real robot experiments are performed. The results show that the developed control strategy can be well used for realistic logistics applications.

Keywords

A Control Strategy for Multi-Robot System Navigating in a Dynamic Environment

Conflicts of Interest

The authors declare no conflicts of interest.

References

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