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.
翻译:我们介绍斯坦福普普普普尔(Stanford Pupper),这是一个容易复制的开放源码,四重机器人,专门设计为脚步机器人研究的基准平台。机器人特征是高特能测试阻力和托普基机器学习及优化控制方法的冷却可控无刷发动机。普普尔可以在8小时内从地面上建造,总成本低于2 000美元,所有部件都可以轻易购买或印刷。为了严格比较控制方法,我们引入了两个基准,即冲印和拼凑,由斯坦福学生机器人组织维持的领导板。这些基准测试高速动态移动能力,以及无结构地形的坚固性。我们提供了一个具有动态、全向导的辅助控制器,作为比较基线。在多个机构,机器人独立制作,所有材料均可在https://stanfordstudentrobotic.org/qudrupped-nchmark上查阅。