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モジュール式ロボットarXiv:1709.05435

知覚駆動型自律性を実現するモジュール式ロボット統合システム

An Integrated System for Perception-Driven Autonomy with Modular Robots

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未知環境を知覚しながら必要に応じて自己再構成し、高レベルタスクを自律的に遂行するモジュール式ロボットシステムを構築し、実機で検証した。

著者: Jonathan Daudelin, Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, Mark Campbell

分類: cs.RO

原文アブストラクト

The theoretical ability of modular robots to reconfigure in response to complex tasks in a priori unknown environments has frequently been cited as an advantage and remains a major motivator for work in the field. We present a modular robot system capable of autonomously completing high-level tasks by reactively reconfiguring to meet the needs of a perceived, a priori unknown environment. The system integrates perception, high-level planning, and modular hardware, and is validated in three hardware demonstrations. Given a high-level task specification, a modular robot autonomously explores an unknown environment, decides when and how to reconfigure, and manipulates objects to complete its task. The system architecture balances distributed mechanical elements with centralized perception, planning, and control. By providing an example of how a modular robot system can be designed to leverage reactive reconfigurability in unknown environments, we have begun to lay the groundwork for modular self-reconfigurable robots to address tasks in the real world.

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