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cs.RO2026

Safe Consensus of Cooperative Manipulation with Hierarchical Event-Triggered Control Barrier Functions

Simiao Zhuang, Bingkun Huang, Zewen Yang

Cooperative transport and manipulation of heavy or bulky payloads by multiple manipulators requires coordinated formation tracking, while simultaneously enforcing strict safety con…

cs.RO2026

Safe-Night VLA: Seeing the Unseen via Thermal-Perceptive Vision-Language-Action Models for Safety-Critical Manipulation

Dian Yu, Qingchuan Zhou, Bingkun Huang +2

Current Vision-Language-Action (VLA) models rely primarily on RGB perception, preventing them from capturing modalities such as thermal signals that are imperceptible to convention…

cs.RO2026

A Unified Complementarity-based Approach for Rigid-Body Manipulation and Motion Prediction

Bingkun Huang, Xin Ma, Nilanjan Chakraborty +1

Robotic manipulation in unstructured environments requires planners to reason jointly about free-space motion and sustained, frictional contact with the environment. Existing (loca…

cs.RO2025

Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness

Bingkun Huang, Yuhe Gong, Zewen Yang +2

Reinforcement learning (RL) approaches based on Markov Decision Processes (MDPs) are predominantly applied in the robot joint space, often relying on limited task-specific informat…

cs.RO2025

Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning

Zewen Yang, Xiaobing Dai, Dongfa Zhang +5

Learning from demonstration allows robots to acquire complex skills from human demonstrations, but conventional approaches often require large datasets and fail to generalize acros…

cs.RO2025

Manipulator for people with limited abilities

Bingkun Huang, Evgeniy Kotov, Arkady Yuschenko

The topic of this final qualification work was chosen due to the importance of developing robotic systems designed to assist people with disabilities. Advances in robotics and auto…