ROBOT MOTION POSTURE CONTROL AND ADAPTIVE ADJUSTMENT ALGORITHM FOR COMPLEX TERRAIN

To promote the development and application of intelligent robots, robots. Combining predictive control and whole-body control, the motion posture of the quadruped robot is controlled and adjusted. The adaptive adjustment algorithm and visual technology are used to improve the motion control of the climbing robot. According to the simulation results, the error rate of the quadruped robot's ground walking was 7.14% during the adaptive walking process from and climbing planning, the average pitch angle of the robot walking on stairs was 0.36 rad, and the error rate of walking on slopes was 5.42%, meeting the requirements for stable motion of quadruped operation of robots.