1 citations · 1 across the 3 of their papers we have counts for
5 papers
Tackling Sim-to-Real Mismatch Through Sampling-Based Disturbance Observers: From Analytical Models to Learned World Models
Tianqi Zhu, Jun Yang, Jianliang Mao +2
Robotic controllers increasingly rely on analytical models, simulators, cost-query interfaces, and learned world models. However, physical deployment can deviate from nominal assum…
Enhancing Robustness of Control Barrier Function: A Reciprocal Resistance-based Approach
Xinming Wang, Zongyi Guo, Jianguo Guo +2
In this note, a new reciprocal resistance-based control barrier function (RRCBF) is developed to enhance the robustness of control barrier functions for disturbed affine nonlinear…
Flexible Active Safety Motion Control for Robotic Obstacle Avoidance: A CBF-Guided MPC Approach
Jinhao Liu, Jun Yang, Jianliang Mao +5
A flexible active safety motion (FASM) control approach is proposed for the avoidance of dynamic obstacles and the reference tracking in robot manipulators. The distinctive feature…
Guarding Force: Safety-Critical Compliant Control for Robot-Environment Interaction
Xinming Wang, Jun Yang, Jianliang Mao +3
In this study, we propose a safety-critical compliant control strategy designed to strictly enforce interaction force constraints during the physical interaction of robots with unk…
Multi-step dual control for exploration and exploitation in autonomous search with convergence guarantee
Yuan Tan, Jun Yang, Wen-Hua Chen +1
Motivated by the recently proposed dual control for exploration and exploitation (DCEE) concept, this paper presents a Multi-Step DCEE (MS-DCEE) framework with guaranteed convergen…