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Move and Improve: a Market-Based Mechanism for the Multiple Depot Multiple Travelling Salesmen Problem

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Abstract

Consider the problem of having a team of cooperative and autonomous robots to repeatedly visit a set of target locations and return back to their initial locations. This problem is known as multi-robot patrolling and can be cast to the multiple depot multiple traveling salesman problem (MD-MTSP), which applies to several mobile robots applications. As an NP-Hard problem, centralized approaches using meta-heuristic search are typically used to solve it, but such approaches are computation-intensive and cannot effectively deal with the dynamic nature of the system. This paper provides a distributed solution based on a market-based approach, called Move-and-Improve. It involves the cooperation of the robots to incrementally allocate targets and remove possible overlap. The concept is simple: in each step, a robot moves and attempts to improve its solution while communicating with its neighbors. Our approach consists of four main phases: (1) initial target allocation, (2) tour construction, (3) negotiation of conflicting targets, (4) solution improvement. To validate the efficiency of the Move-and-Improve distributed algorithm, we first conducted extensive simulations using Webots and evaluated its performance in terms of total traveled distance, maximum tour length, and ratio of overlapped targets, under different settings. We also demonstrated through MATLAB simulations the benefits of using our decentralized approach as compared to a centralized Genetic Algorithm approach to solve the MD-MTSP problem. Finally, we implemented Move-and-Improve using ROS and deployed it on real robots.

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Authors and Affiliations

  1. Prince Sultan University, Riyadh, Saudi Arabia

    Anis Koubâa & Yasir Javed

  2. CISTER/INESC-TEC, ISEP, Polytechnic Institute of Porto, Porto, Portugal

    Anis Koubâa

  3. Taif University, Taif, Saudi Arabia

    Omar Cheikhrouhou

  4. ISIMA, University of Monastir, Monastir, Tunisia

    Omar Cheikhrouhou

  5. College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi Arabia

    Hachemi Bennaceur, Mohamed-Foued Sriti & Adel Ammar

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  1. Anis Koubâa
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  2. Omar Cheikhrouhou
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  4. Mohamed-Foued Sriti
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Correspondence to Anis Koubâa.

Additional information

This paper is an extended version of the conference paper [1] published in the IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2014). This version presents a new introduction, an extended literature review, a new illustration of the algorithms, a completely new simulation study using Webots, and an experimental deployment on real robots.

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Koubâa, A., Cheikhrouhou, O., Bennaceur, H. et al. Move and Improve: a Market-Based Mechanism for the Multiple Depot Multiple Travelling Salesmen Problem. J Intell Robot Syst 85, 307–330 (2017). https://doi.org/10.1007/s10846-016-0400-x

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