Stanford Pupper：研究ベンチマークと教育のための低コスト敏捷四足歩行ロボット
Stanford Pupper: A Low-Cost Agile Quadruped Robot for Benchmarking and Education
2000ドル以下・8時間以内で自作できるオープンソース四足歩行ロボットを開発し、高速走行と不整地対応の2つのベンチマークとリーダーボードを提案した論文。
著者: Nathan Kau
分類: cs.RO
原文アブストラクト
We present Stanford Pupper, an easily-replicated open source quadruped robot designed specifically as a benchmark platform for legged robotics research. The robot features torque-controllable brushless motors with high specific power that enable testing of impedance and torque-based machine learning and optimization control approaches. Pupper can be built from the ground up in under 8 hours for a total cost under $2000, with all components either easily purchased or 3D printed. To rigorously compare control approaches, we introduce two benchmarks, Sprint and Scramble with a leader board maintained by Stanford Student Robotics. These benchmarks test high-speed dynamic locomotion capability, and robustness to unstructured terrain. We provide a reference controller with dynamic, omnidirectional gaits that serves as a baseline for comparison. Reproducibility is demonstrated across multiple institutions with robots made independently. All material is available at https://stanfordstudentrobotics.org/quadruped-benchmark.
