Staying-alive path planning with energy optimization for mobile robots

  • Authors:
  • Hongxing Wei;Bin Wang;Yi Wang;Zili Shao;Keith C. C. Chan

  • Affiliations:
  • The School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;The School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

Most mobile robots are powered by batteries, and their energy and operation time are limited. Therefore, how to minimize energy consumption and keep mobile robots to stay alive becomes an important problem. In this paper, we propose a staying-alive and energy-efficient path planning algorithm, SLEEP (Staying-aLive and Energy-Efficient Path planning), to solve this problem based on the Tabu-search method. In SLEEP, we consider both energy consumption and staying-alive for the path planning of rechargeable mobile robots. We design and implement our approach based on a real mobile robot platform, and conduct experiments in a real-life environment. The experimental results show that SLEEP can provide an effective path planning by which a robot can be guaranteed to stay alive and finish all tasks with the minimum energy.