Abstract
This paper proposes a furniture arrangement method based on a multi-agent approach for interior coordination. In the proposed model, each item of furniture acts as an agent, interacts with an environment and other agents, and moves to where it wants to go. Consequently, all items of furniture reach well-coordinated placement. The movements of agents in the proposed method are inspired by particle movements in particle swarm optimization algorithms, that is, the agent’s velocity is calculated from a linear summation of vectors to avoid constraint violations, to harmonize with other agents, and so on. A simple example shows that the proposed method can make a well-coordinated furniture arrangement from randomized positions.
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This work was presented in part and was awarded the Best Paper Award at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010
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Ono, S., Oshige, T. & Nakayama, S. A multi-agent-based approach for furniture arrangement. Artif Life Robotics 15, 161–164 (2010). https://doi.org/10.1007/s10015-010-0783-x
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DOI: https://doi.org/10.1007/s10015-010-0783-x