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arXiv 2109.09934cs.ROcs.SYeess.SY
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轮腿式足式机器人通过高障碍物的平衡控制与位姿优化

Balancing Control and Pose Optimization for Wheel-legged Robots Navigating High Obstacles

University of Southern California(南加州大学)

Junheng Li, Junchao Ma, Quan Nguyen

摘要:

提出了一种基于二次规划的轮腿四足机器人位姿优化和力控制的控制方法。我们的方法允许机器人利用全身运动和车轮驱动来翻滚高障碍物,同时保持车轮扭矩来导航地形,同时保持车轮牵引力和平衡机器人身体。详细地说,我们首先提出了一个线性刚体动力学与车轮,可用于实时平衡控制轮足式机器人。然后,我们介绍了一种有效的位姿优化方法的轮腿机器人的运动在陡坡和楼梯地形。姿态优化解决了最佳姿态,以增强稳定性并对楼梯地形上的滚动运动实施碰撞费用约束。在真实机器人上的实验验证表明,该机器人具有在0.36 m障碍物上滚动的能力。该机器人还可以成功地上下多个楼梯,而不会抬起腿或与地形发生碰撞。

英文摘要:

In this paper, we propose a novel approach on controlling wheel-legged quadrupedal robots using pose optimization and force control via quadratic programming (QP). Our method allows the robot to leverage the whole-body motion and the wheel actuation to roll over high obstacles while keeping the wheel torques to navigate the terrain while keeping the wheel traction and balancing the robot body. In detail, we first present a linear rigid body dynamics with wheels that can be used for real-time balancing control of wheel-legged robots. We then introduce an effective pose optimization method for wheel-legged robot's locomotion over steep ramp and stair terrains. The pose optimization solves for optimal poses to enhance stability and enforce collision-fee constraints for the rolling motion over stair terrain. Experimental validation on the real robot demonstrated the capability of rolling up on a 0.36 m obstacle. The robot can also successfully roll up and down multiple stairs without lifting its legs or having collision with the terrain.

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