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Energy efficient cooperative foraging swarm robots using: Adaptive behavioral model
- Energy efficient cooperative foraging swarm robots using: Adaptive behavioral model
- Lee, J.-H.[Lee, Jong Hyun]; An, J.[An, Jin Ung]; Ahn, C.W.[Ahn, Chang Wook]
- DGIST Authors
- An, J.[An, Jin Ung]
- Issue Date
- Journal of Institute of Control, Robotics and Systems, 18(1), 21-27
- Article Type
- Algorithms; Artificial Intelligence; Behavior Model; Behavioral Model; Cooperative Swarm; Cooperative Swarm Robots; Data Communication Equipment; Energy Efficiency; Energy Efficient; Foraging Robots; Industrial Robots; Initial and Operating Cost; Multi-Robots; Multipurpose Robots; Operating Costs; Robotics; Search Spaces; State-of-the-Art Algorithms; Swarm Intelligence; Swarm Robotics; Swarm Robots
- We can efficiently collect crops or minerals by operating multi-robot foraging. As foraging spaces become wider, control algorithms demand scalability and reliability. Swarm robotics is a state-of-the-art algorithm on wide foraging spaces due to its advantages, such as self-organization, robustness, and flexibility. However, high initial and operating costs are main barriers in performing multi-robot foraging system. In this paper, we propose a novel method to improve the energy efficiency of the system to reduce operating costs. The idea is to employ a new behavior model regarding role division in concert with the search space division. © ICROS 2012.
- Institute of Control, Robotics and Systems
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