都市スウォーム：自律型廃棄物管理への新アプローチ
Urban Swarms: A new approach for autonomous waste management
生物に着想を得た採餌手法とスティグマジー航法を用いた群ロボットで、実世界のGISデータに基づく都市ごみ収集シミュレーションを行い、既存手法より効率的かつ自律的であることを示した論文。
著者: Antonio Luca Alfeo, Eduardo Castelló Ferrer, Yago Lizarribar Carrillo, Arnaud Grignard, Luis Alonso Pastor, Dylan T. Sleeper, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini, Kent Larson, Marco Dorigo, Alex `Sandy' Pentland
分類: cs.RO, cs.MA
原文アブストラクト
Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of attention in the past years and they are expected to become one of the main driving factors for innovation in the field of robotics. The research presented in this paper explores the feasibility of a swarm robotics system in an urban environment. By using bio-inspired foraging methods such as multi-place foraging and stigmergy-based navigation, a swarm of robots is able to improve the efficiency and autonomy of the urban waste management system in a realistic scenario. To achieve this, a diverse set of simulation experiments was conducted using real-world GIS data and implementing different garbage collection scenarios driven by robot swarms. Results presented in this research show that the proposed system outperforms current approaches. Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems.
