Program

Accepted Paper

1.Tactile-Based Human Intent Recognition for Robot Assistive Navigation

2. Affordance-based Robot Manipulation with Flow Matching 

3. Reinforcement Learning with Merged Motor Learning Theory for Personalized Upper-Limb Robot Rehabilitation 

4.Toward Sensorless Finger joint stiffness Assessment in Sof Robot-aissisted Therapy

5. In-Hand Manipulation Based on Rigid-Soft Hybrid Gripper Design 

6. Plantar Force Prior-Guided Parameter Optimization for Adaptive Control of Wearable Knee Exoskeletons 

7. Low-Hysteresis Conductive Eutectogel Interfaces for Rehabilitation-Oriented Human-Robot Interaction 

8. An Anthropomorphic Hand with Hybrid Soft–Rigid Actuation 

9. A Low-Cost, 3D-Printable, Modular IMU-Based Rigid Data Glove 

10. Capability Preservation in Aging Knees: A Fatigue-Aware Hybrid FES–Exoskeleton with Hard Safety Guarantees for Home Rehabilitation 

11. Learning Whole-Body Control for End-Effector Stabilization of a Quadruped Manipulator