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Object Transportation by Two Mobile Robots with Hand Carts

Takuya Sakuyama, Jorge David Figueroa Heredia, Taiki Ogata, Tatsunori Hara, Jun Ota

发表年份
2014
引用次数
10
访问权限
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摘要

This paper proposes a methodology by which two small mobile robots can grasp, lift, and transport large objects using hand carts. The specific problems involve generating robot actions and determining the hand cart positions to achieve the stable loading of objects onto the carts. These problems are solved using nonlinear optimization, and we propose an algorithm for generating robot actions. The proposed method was verified through simulations and experiments using actual devices in a real environment. The proposed method could reduce the number of robots required to transport large objects with 50-60%. In addition, we demonstrated the efficacy of this task in real environments where errors occur in robot sensing and movement.

关键词

Computer scienceRobotGRASPLift (data mining)Mobile robotTask (project management)Object (grammar)Artificial intelligenceSimulationComputer vision

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