activity
20232026
collaborators

8 papers

cs.RO2026

VRA: Grounding Discrete-Time Joint Acceleration in Voltage-Constrained Actuation

Lingwei Zhang, Jiaming Wang, Tianlin Zhang +5

Discrete-time joint acceleration constraints are widely used to enforce position and velocity limits. However, under voltage-constrained electric actuators, kinematically admissibl…

cs.RO2026

Jumping Control for a Quadrupedal Wheeled-Legged Robot via NMPC and DE Optimization

Xuanqi Zeng, Lingwei Zhang, Linzhu Yue +4

Quadrupedal wheeled-legged robots combine the advantages of legged and wheeled locomotion to achieve superior mobility, but executing dynamic jumps remains a significant challenge…

cs.RO2025

Shared Object Manipulation with a Team of Collaborative Quadrupeds

Shengzhi Wang, Niels Dehio, Xuanqi Zeng +4

Utilizing teams of multiple robots is advantageous for handling bulky objects. Many related works focus on multi-manipulator systems, which are limited by workspace constraints. In…

cs.RO2025

Whole-Body Control Framework for Humanoid Robots with Heavy Limbs: A Model-Based Approach

Tianlin Zhang, Linzhu Yue, Hongbo Zhang +4

Humanoid robots often face significant balance issues due to the motion of their heavy limbs. These challenges are particularly pronounced when attempting dynamic motion or operati…

cs.RO2024

Online Omnidirectional Jumping Trajectory Planning for Quadrupedal Robots on Uneven Terrains

Linzhu Yue, Zhitao Song, Jinhu Dong +6

Natural terrain complexity often necessitates agile movements like jumping in animals to improve traversal efficiency. To enable similar capabilities in quadruped robots, complex r…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2023

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…