Staying-alive path planning with energy optimization for mobile robots

Hongxing Wei; Bin Wang; Yi Wang; Zili Shao; Chun Chung Chan

doi:10.1016/j.eswa.2011.09.046

Staying-alive path planning with energy optimization for mobile robots

Hongxing Wei, Bin Wang, Yi Wang, Zili Shao, Chun Chung Chan

Research output: Journal article publication › Journal article › Academic research › peer-review

32 Citations (Scopus)

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.

Original language	English
Pages (from-to)	3559-3571
Number of pages	13
Journal	Expert Systems with Applications
Volume	39
Issue number	3
DOIs	https://doi.org/10.1016/j.eswa.2011.09.046
Publication status	Published - 15 Feb 2012

Keywords

Energy optimization
Mobile robots
Path planning
Staying alive

ASJC Scopus subject areas

Engineering(all)
Computer Science Applications
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1016/j.eswa.2011.09.046

Cite this

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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.",

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AU - Wei, Hongxing

AU - Wang, Bin

AU - Wang, Yi

AU - Shao, Zili

AU - Chan, Chun Chung

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AB - 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.

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Staying-alive path planning with energy optimization for mobile robots

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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