利用反作用轮增强有腿机器人的平衡能力

Chia-Yen Lee, Shuo Yang, Benjamin Bokser, Zachary Manchester
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引用次数: 1

摘要

我们介绍了一个反作用轮系统,以提高四足机器人在挑战性运动任务中的平衡能力和稳定性。受足式机器人常用的标准质心动力学模型和航天领域常用的航天器模型的启发,我们将四足-反作用轮耦合系统建模为陀螺仪,并将动力学简化为线性离散轨迹优化问题。对标准的质心模型预测控制(MPC)算法进行了改进,以同时求解站脚地面反力和反力轮力矩。MPC问题以二次规划形式提出,在1000 Hz下在线求解。与没有反力轮的四足动物相比,我们在模拟和硬件上都展示了改进的姿态稳定性,并完成了对标准四足动物不可能完成的窄平衡木的挑战性穿越。我们的实验视频可以在网上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Balance for Legged Robots Using Reaction Wheels
We introduce a reaction wheel system that enhances the balancing capabilities and stability of quadrupedal robots during challenging locomotion tasks. Inspired by both the standard centroidal dynamics model common in legged robotics and models of spacecraft commonly used in the aerospace community, we model the coupled quadruped-reaction-wheel system as a gyrostat, and simplify the dynamics to formulate the problem as a linear discrete-time trajectory optimization problem. Modifications are made to a standard centroidal model-predictive control (MPC) algorithm to solve for both stance foot ground reaction forces and reaction wheel torques simultaneously. The MPC problem is posed as a quadratic program and solved online at 1000 Hz. We demonstrate improved attitude stabilization both in simulation and on hardware compared to a quadruped without reaction wheels, and perform a challenging traversal of a narrow balance beam that would be impossible for a standard quadruped. A video of our experiments is available online1.
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