Market-Based Multirobot Coordination: A Survey and Analysis

Market-Based Multirobot Coordination: A Survey and Analysis

April 2005 | M. Bernardine Dias, Robert Zlot, Nidhi Kalra, and Anthony Stentz
The paper "Market-Based Multirobot Coordination: A Survey and Analysis" by M. Bernardine Dias, Robert Zlot, Nidhi Kalra, and Anthony Stentz provides a comprehensive review of market-based approaches to multirobot coordination. These approaches have gained significant attention and popularity in the robotics community due to their successful implementation in various domains, including mapping, exploration, and robot soccer. The paper introduces the concept of market-based coordination, defines its key elements, and discusses its strengths and weaknesses. It then delves into specific aspects such as planning, dynamic events, solution quality, scalability, heterogeneous teams, tight coordination, learning and adaptation, and generality. Each section reviews relevant literature, evaluates existing approaches, and identifies future research challenges. The authors highlight the need for better understanding of market-based coordination, robust operation in dynamic environments, solution quality measures, and meaningful comparisons with other coordination methods. Despite the challenges, market-based techniques show promise as versatile and powerful coordination schemes for complex robotic tasks.The paper "Market-Based Multirobot Coordination: A Survey and Analysis" by M. Bernardine Dias, Robert Zlot, Nidhi Kalra, and Anthony Stentz provides a comprehensive review of market-based approaches to multirobot coordination. These approaches have gained significant attention and popularity in the robotics community due to their successful implementation in various domains, including mapping, exploration, and robot soccer. The paper introduces the concept of market-based coordination, defines its key elements, and discusses its strengths and weaknesses. It then delves into specific aspects such as planning, dynamic events, solution quality, scalability, heterogeneous teams, tight coordination, learning and adaptation, and generality. Each section reviews relevant literature, evaluates existing approaches, and identifies future research challenges. The authors highlight the need for better understanding of market-based coordination, robust operation in dynamic environments, solution quality measures, and meaningful comparisons with other coordination methods. Despite the challenges, market-based techniques show promise as versatile and powerful coordination schemes for complex robotic tasks.
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