Path planning and obstacle avoidance of multi-robotic system in static and dynamic environments-Reference-Cited by-同舟云学术

Path planning and obstacle avoidance of multi-robotic system in static and dynamic environments

Published:2022-10-17 Issue: Volume: Page:095440542211303
ISSN:0954-4054
Container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Author:

Kumar Saroj¹²^ORCID,Parhi Dayal R¹,Muni Manoj Kumar³^ORCID

Affiliation:

1. Robotics Laboratory, Department of Mechanical Engineering, National Institute of Technology, Rourkela, Odisha, India

2. Departmental of Mechanical Engineering, O.P. Jindal University, Raigarh, Chhattisgarh, India

3. Department of Mechanical Engineering, Indira Gandhi Institute of Technology, Sarang, Odisha, India

Abstract

Mobile robots have wide applications in challenging real-world scenarios. Therefore, it is necessary to have an advanced controller to control the robotic systems smoothly. An artificial bee colony optimization algorithm and recurrent neural network are combined to develop a hybrid controller and implemented for multi-robotic navigational problems in unknown static and dynamic environments. The designed controller is validated through MATLAB simulations coupled with real-time experiments. Results obtained via both the testing platforms are analysed, and found a good agreement between them as the deviation is less than 5.5%. Further, the developed controller is compared with existing controllers, and improvements of 20%, 10.19%, 13.53% is noted in terms of path length.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/09544054221130386

Reference53 articles.

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