collaborators

12 papers

eess.IV2026

Mixtac: A Novel Bio-Inspired Hybrid Tactile Sensor with Synergistic Event-Frame Perception

Yihang Li, Yijin Chen, Junkai Xu +4

Vision based and event based tactile sensors are important in robotic manipulation research. However, they suffer from a fundamental tradeoff: vision based sensors have low samplin…

cs.RO2026

A Tactile-based Interactive Motion Planner for Robots in Unknown Cluttered Environments

Chengjin Wang, Yanmin Zhou, Zheng Yan +5

In unknown cluttered environments with densely stacked objects, the free-motion space is extremely barren, posing significant challenges to motion planners. Collision-free planning…

cs.RO2026

Dual-Horizon Hybrid Internal Model for Low-Gravity Quadrupedal Jumping with Hardware-in-the-Loop Validation

Haozhe Xu, Yifei Zhao, Wenhao Feng +6

Locomotion under reduced gravity is commonly realized through jumping, yet continuous pronking in lunar gravity remains challenging due to prolonged flight phases and sparse ground…

cs.RO2026

Autonomous UAV-Quadruped Docking in Complex Terrains via Active Posture Alignment and Constraint-Aware Control

Haozhe Xu, Cheng Cheng, Hongrui Sang +4

Autonomous docking between Unmanned Aerial Vehicles (UAVs) and ground robots is essential for heterogeneous systems, yet most existing approaches target wheeled platforms whose lim…

cs.RO2026

Morphogenetic Assembly and Adaptive Control for Heterogeneous Modular Robots

Chongxi Meng, Da Zhao, Yifei Zhao +4

This paper presents a closed-loop automation framework for heterogeneous modular robots, covering the full pipeline from morphological construction to adaptive control. In this fra…

cs.RO2026

HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments

Chenhui Dong, Haozhe Xu, Wenhao Feng +4

Reinforcement learning (RL) controllers have made impressive progress in humanoid locomotion and light-weight object manipulation. However, achieving robust and precise motion cont…