2 citations · 2 across the 4 of their papers we have counts for
4 papers
Adaptive Model Predictive Control with Data-driven Error Model for Quadrupedal Locomotion
Xuanqi Zeng, Hongbo Zhang, Linzhu Yue +3
Model Predictive Control (MPC) relies heavily on the robot model for its control law. However, a gap always exists between the reduced-order control model with uncertainties and th…
A Fast Online Omnidirectional Quadrupedal Jumping Framework Via Virtual-Model Control and Minimum Jerk Trajectory Generation
Linzhu Yue, Lingwei Zhang, Zhitao Song +4
Exploring the limits of quadruped robot agility, particularly in the context of rapid and real-time planning and execution of omnidirectional jump trajectories, presents significan…
Evolutionary-Based Online Motion Planning Framework for Quadruped Robot Jumping
Linzhu Yue, Zhitao Song, Hongbo Zhang +3
Offline evolutionary-based methodologies have supplied a successful motion planning framework for the quadrupedal jump. However, the time-consuming computation caused by massive po…
An Optimal Motion Planning Framework for Quadruped Jumping
Zhitao Song, Linzhu Yue, Guangli Sun +4
This paper presents an optimal motion planning framework to generate versatile energy-optimal quadrupedal jumping motions automatically (e.g., flips, spin). The jumping motions via…