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Hong Zeng

7 accepted papers

2026

Development and Control of Supernumerary Robotic Limbs for Overhead Tube Manipulation Task

RA-L 2026

The foreign objects on utility poles may damage power lines and cause significant disruptions in electricity supply. A widely used approach to address this issue is for qualified personnel to climb on the pole and remove the foreign objects in a timely manner using an insulating tube. However, prolo

Cited by 0SourceScholar
2024

Quantification of Upper-Limb Motor Function for Stroke Rehabilitation Through Manifold Similarity of Muscle Synergy

RA-L 2024

Quantifying post-stroke patient motor function is important for assessing rehabilitation progress and optimizing the behavior of adaptive rehabilitation robots. To this end, researchers have increasing turned to the concept of muscle synergies, which encodes the simplified neuromuscular control stra

Cited by 0SourceScholar
2023

Bridging Human-Robot Co-Adaptation via Biofeedback for Continuous Myoelectric Control

RA-L 2023

This letter proposes a novel human-robot co-adaptation framework for robust and accurate user intent recognition, specifically in the context of automatic control in assistance robots such as neural prosthetics and rehabilitation devices empowered by electrophysiological signals. Our goal is to inco

Cited by 9SourceScholar
2023

Robot-Assisted Eye-Hand Coordination Training System by Estimating Motion Direction Using Smooth-Pursuit Eye Movements

ICRA 2023poster

Robot-assisted eye-hand coordination rehabilitation training system is extremely urgent to study since recent evidence suggests that eye-hand coordination can be brutally disturbed by stroke with critical consequences on motor behavior. In this paper, we develop a robot-assisted eye-hand coordinatio…

Cited by 1SourceScholar
2022

Engagement Enhancement Based on Bayesian Optimization for Adaptive Assist-as-Needed Controller

RA-L 2022

Assist-as-needed (AAN) control strategy is applied in robot-aided therapy to promote the subject's engagement with minimal assistance. Current methods are based on physical measurements or employ a model to estimate the subject's engagement, which indirectly reflects the physiology of the subject or

Cited by 13SourceScholar
2020

Real-time Continuous Hand Motion Myoelectric Decoding by Automated Data Labeling

ICRA 2020poster

In this paper an automated data labeling (ADL) neural network is proposed to streamline dataset collecting for real-time predicting the continuous motion of hand and wrist, these gestures are only decoded from a surface electromyography (sEMG) array of eight channels. Unlike collecting both the bio-…

Cited by 15SourceScholar
2018

Continuous Shared Control for Robotic Arm Reaching Driven by a Hybrid Gaze-Brain Machine Interface

IROS 2018poster

The brain-machine interface (BMI) has been reported to offer the potential for controlling the assistive robot for the motor impaired people, using the non-invasively obtained electroencephalogram (EEG) signals. However, the EEG based BMI may not be sufficient and stable to drive the robot moving fr…

Cited by 12SourceScholar