ReachBot:大型移動マニピュレーションタスク向けの小型ロボット
ReachBot: A Small Robot for Large Mobile Manipulation Tasks
伸縮ブームと移動マニピュレーションを組み合わせ、低重力や登攀環境で大きな作業空間と力を発揮する小型ロボットReachBotを提案し、2D力学モデルと微小重力下の経路追従制御を開発した。
著者: Stephanie Schneider, Andrew Bylard, Tony G. Chen, Preston Wang, Mark Cutkosky, Marco Pavone
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
Robots are widely deployed in space environments because of their versatility and robustness. However, adverse gravity conditions and challenging terrain geometry expose the limitations of traditional robot designs, which are often forced to sacrifice one of mobility or manipulation capabilities to attain the other. Prospective climbing operations in these environments reveals a need for small, compact robots capable of versatile mobility and manipulation. We propose a novel robotic concept called ReachBot that fills this need by combining two existing technologies: extendable booms and mobile manipulation. ReachBot leverages the reach and tensile strength of extendable booms to achieve an outsized reachable workspace and wrench capability. Through their lightweight, compactable structure, these booms also reduce mass and complexity compared to traditional rigid-link articulated-arm designs. Using these advantages, ReachBot excels in mobile manipulation missions in low gravity or that require climbing, particularly when anchor points are sparse. After introducing the ReachBot concept, we discuss modeling approaches and strategies for increasing stability and robustness. We then develop a 2D analytical model for ReachBot's dynamics inspired by grasp models for dexterous manipulators. Next, we introduce a waypoint-tracking controller for a planar ReachBot in microgravity. Our simulation results demonstrate the controller's robustness to disturbances and modeling error. Finally, we briefly discuss next steps that build on these initially promising results to realize the full potential of ReachBot.
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