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Haiqi Zhu

4 accepted papers

2026

A Semi-Active Occupational Shoulder Exoskeleton for Overhead Work With Free Mode and Personalized Assistive Torque

RA-L 2026

Current passive or semi-active shoulder exoskeletons for overhead work provide fixed assistive torque for all participants and tasks, which lacks adaptability. In addition, due to the need to store energy at low elevation angles, they may increase physical demand on the user when assistance is not r

Cited by 0SourceScholar
2026

A Semi-Active Occupational Shoulder Exoskeleton for Overhead Work with Free Mode and Personalized Assistive Torque

ICRA 2026poster

Current passive or semi-active shoulder exoskeletons for overhead work provide fixed assistive torque for all participants and tasks, which lacks adaptability. In addition, due to the need to store energy at low elevation angles, they may increase physical demand on the user when assistance is not r…

Cited by 0SourceScholar
2025

A Ranking Scheme for Trust Region Multi-agent Reinforcement Learning

ICASSP 2025accepted

In multi-agent reinforcement learning (MARL), trust region (TR) methods are widely used because they effectively mitigate the nonstationarity of multi-agent systems and facilitate collaboration among diverse agent types. Based on the multi-agent advantage decomposition lemma, TR methods adopt a sequ…

Cited by 0SourceScholar
2025

EGENN: An Efficient Graph-Enhanced Neural Network for Multivariate Time Series Forecasting

ICASSP 2025accepted

Graph Neural Network (GNN) has been widely applied in multivariate time series forecasting due to its excellent relationship modeling capabilities. However, current methods still face limitations in computational efficiency or time series expression capabilities. To address these issues, we propose…

Cited by 0SourceScholar