activity
20242026
most citedAchieving distributed convex optimization within prescribed time for high-order nonlinear multiagent systems

4 citations · 4 across the 2 of their papers we have counts for

collaborators

6 papers

cs.RO2026

MoRI: Mixture of RL and IL Experts for Long-Horizon Manipulation Tasks

Yaohang Xu, Lianjie Ma, Gewei Zuo +3

Reinforcement Learning (RL) and Imitation Learning (IL) are the standard frameworks for policy acquisition in manipulation. While IL offers efficient policy derivation, it suffers…

math.OC20264 cited

Achieving distributed convex optimization within prescribed time for high-order nonlinear multiagent systems

Gewei Zuo, Lijun Zhu, Yujuan Wang +2

In this paper, we address the distributed prescribed-time convex optimization (DPTCO) problem for a class of nonlinear multi-agent systems (MASs) under undirected connected graph.…

cs.RO2026

A Three-Level Whole-Body Disturbance Rejection Control Framework for Dynamic Motions in Legged Robots

Bolin Li, Gewei Zuo, Zhixiang Wang +3

This paper presents a control framework designed to enhance the stability and robustness of legged robots in the presence of uncertainties, including model uncertainties, external…

cs.RO2025

Hybrid Dynamics Modeling and Trajectory Planning for a Cable-Trailer System with a Quadruped Robot

Wentao Zhang, Shaohang Xu, Gewei Zuo +3

Inspired by sled-pulling dogs in transportation, we present a cable-trailer integrated with a quadruped robot system. The motion planning of this system faces challenges due to the…

cs.RO2025

Disturbance Estimation of Legged Robots: Predefined Convergence via Dynamic Gains

Bolin Li, Peiyuan Cai, Gewei Zuo +2

In this study, we address the challenge of disturbance estimation in legged robots by introducing a novel continuous-time online feedback-based disturbance observer that leverages…

eess.SY2024

Prescribed-time Cooperative Output Regulation of Linear Heterogeneous Multi-agent Systems

Gewei Zuo, Lijun Zhu, Yujuan Wang +1

A finite-time protocol for a multi-agent systems (MASs) can guarantee the convergence of every agent in a finite time interval in contrast to the asymptotic convergence, but the se…