Dynamic Locomotion of Quadruped Robot in Sloping Terrain

Donglin Chen, Dehong Cong, Xiangman Song
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Abstract

In order to improve the locomotion capability of quadruped robot in the sloping terrain and enhance whose adaptability to the environment, this paper proposes a method to realize dynamic locomotion of quadruped robot in sloping terrain completely based on model predictive control (MPC) and proprioception. According to the foot contact signal and the robot body posture information measured by inertial measurement unit (IMU), quadruped robot actively changes whose body posture to adapt to different sloping terrains. This paper builds quadruped robot virtual prototype and test terrain in Webots simulation environment. The experimental results show that with this method, the roll angle fluctuation range of the quadruped robot is less than 0.05rad and the yaw angle fluctuation range is not more than 0.003rad. At the same time, when the angle of slope changes, the terrain adaptation time of the quadruped robot is less than 1.8s. The above results show that quadruped robot has excellent movement ability in sloping terrain and environmental adaptability under the condition of ensuring stability with the method proposed in this paper.
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倾斜地形下四足机器人的动态运动
为了提高四足机器人在倾斜地形中的运动能力,增强四足机器人对环境的适应性,本文提出了一种完全基于模型预测控制(MPC)和本体感觉的四足机器人在倾斜地形中的动态运动实现方法。四足机器人根据足部接触信号和惯性测量单元(IMU)测量的机器人身体姿态信息,主动改变身体姿态以适应不同的斜坡地形。本文在Webots仿真环境中构建了四足机器人虚拟样机和测试地形。实验结果表明,采用该方法,四足机器人的横摇角波动范围小于0.05rad,偏航角波动范围不大于0.003rad。同时,当坡度角度发生变化时,四足机器人的地形适应时间小于1.8s。以上结果表明,采用本文提出的方法,四足机器人在保证稳定性的条件下,具有良好的斜坡地形运动能力和环境适应性。
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