惑星探査向け四足歩行ロボットの適応型階層制御フレームワーク
An adaptive hierarchical control framework for quadrupedal robots in planetary exploration
未知の地形やロボットの不確かさに対応するため、モデルベース制御とオンライン適応、適応的足運び計画を組み合わせた四足歩行ロボットの制御フレームワークを開発し、火山での実地試験で700m以上の歩行を実証した。
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著者: Franek Stark, Rohit Kumar, Shubham Vyas, Hannah Isermann, Jonas Haack, Mihaela Popescu, Jakob Middelberg, Dennis Mronga, Frank Kirchner
分類: cs.RO
原文アブストラクト
Planetary exploration missions require robots capable of navigating extreme and unknown environments. While wheeled rovers have dominated past missions, their mobility is limited to traversable surfaces. Legged robots, especially quadrupeds, can overcome these limitations by handling uneven, obstacle-rich, and deformable terrains. However, deploying such robots in unknown conditions is challenging due to the need for environment-specific control, which is infeasible when terrain and robot parameters are uncertain. This work presents a modular control framework that combines model-based dynamic control with online model adaptation and adaptive footstep planning to address uncertainties in both robot and terrain properties. The framework includes state estimation for quadrupeds with and without contact sensing, supports runtime reconfiguration, and is integrated into ROS 2 with open-source availability. Its performance was validated on two quadruped platforms, multiple hardware architectures, and in a volcano field test, where the robot walked over 700 m.
