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Chaobin Zou

10 accepted papers

2026

A Novel Human-Machine Dual-Task Gaming Framework for Visual-Attention Training

ICRA 2026poster

Efficient brain functional training with rehabilitation robots has been an important and challenging topic in the human-machine interaction (HMI) field. Adjusting the interaction and gaming behaviors between human and machine to effectively activate the brain’s functional behavior is still a substan…

Cited by 0Scholar
2025

A VisuoMotor Human-Robot Interaction Framework for Attention-Motion-Integrated Training

IROS 2025

Focus of attention is one of the most influential factors facilitating motor training performance. Most of robotic training methods have not well solved the negative effect of divided-attention on motor execution performance, resulting in limited rehabilitation efficiency for motor-cognitive dysfunc

Cited by 0SourceScholar
2025

Force-Sensor-free Contact Estimation for Lower Limb Exoskeleton Robots Based on Probabilistic Modeling and Fusion

IROS 2025

Lower limb exoskeletons (LLEs) play a crucial role in assisting paraplegic patients with walking in outdoor environments characterized by complex terrains, including various stairs, slopes, and uneven grounds. However, most existing control methods for LLEs rely on predefined joint angles, lacking t

Cited by 0SourceScholar
2025

Uncertain Pushing Adaptive Coordinated Control for the Human-Exoskeleton-Walker System

RA-L 2025

Lower Limb Exoskeletons are potential in the gait training for patients with gait disorders. For patients in the early rehabilitation stages with weak upper limb strength, it is challenge to keep balance by themselves only. A mobile robotic walker is helpful to maintain the walking balance, with the

Cited by 0SourceScholar
2024

Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation

ICRA 2024poster

6D object pose estimation plays a crucial role in robot grasping and manipulation. However, the prevalent methods for 6D object pose estimation heavily rely on 6D annotated data to train deep neural networks, which poses challenges due to the difficulty in obtaining sufficient pose annotations. To a…

Cited by 0SourceScholar
2021

Estimating the Center of Mass of Human-Exoskeleton Systems with Physically Coupled Serial Chain

IROS 2021poster

Estimating the center of mass (CoM) is essential for both gait planning and controlling of lower limb exoskeletons. Different from CoM estimation in human and humanoid robots, a critical issue in human-exoskeleton systems pis how to describe the effect of physical human-exoskeleton interactions in e…

Cited by 1SourceScholar
2021

Synergetic Gait Prediction for Stroke Rehabilitation with Varying Walking Speeds

IROS 2021poster

Lower Limb Exoskeletons (LLEs) are promising in gait rehabilitation for stroke survivors. In gait training of post-stroke patients with LLEs, one of the main challenges is how to generate appropriate gait patterns from the sound leg to the paretic leg for different patients with varying walking spee…

Cited by 8SourceScholar
2019

Adaptive Gait Planning for Walking Assistance Lower Limb Exoskeletons in Slope Scenarios

ICRA 2019poster

Lower-limb exoskeleton has gained considerable interests in walking assistance applications for paraplegic patients. In walking assistance of paraplegic patients, the exoskeleton should have the ability to help patients to walk over different terrains in the daily life, such as slope terrains. One c…

Cited by 11SourceScholar
2018

Learning-based Walking Assistance Control Strategy for a Lower Limb Exoskeleton with Hemiplegia Patients

IROS 2018poster

Lower exoskeleton has gained considerable interests in walking assistance applications for both paraplegia and hemiplegia patients. In walking assistance of hemiplegia patients, the exoskeleton should have the ability to control the affected leg to follow the unaffected leg's motion naturally. One c…

Cited by 27SourceScholar