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Ligang Wu

5 accepted papers

2025

Robust Parallel Cooperative Control of Cable-Driven Robot System via Adaptive Integral Sliding Mode

RA-L 2025

This paper develops an adaptive integral sliding mode control scheme to manipulate the cable-driven robots, realizing robust parallel cooperation performance for the variable loads. The considered cable-driven robot system (CDRS) employs multiple flexible cables to cooperatively regulate the robotic

Cited by 3SourceScholar
2024

Interactive Continual Learning: Fast and Slow Thinking

CVPR 2024poster

Advanced life forms sustained by the synergistic interaction of neural cognitive mechanisms continually acquire and transfer knowledge throughout their lifespan. In contrast contemporary machine learning paradigms exhibit limitations in emulating the facets of continual learning (CL). Nonetheless th…

2024

SMR: State Memory Replay for Long Sequence Modeling

ACL 2024findings

Despite the promising performance of state space models (SSMs) in long sequence modeling, limitations still exist. Advanced SSMs like S5 and S6 (Mamba) in addressing non-uniform sampling, their recursive structures impede efficient SSM computation via convolution. To overcome compatibility limitatio…

2023

On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects

RA-L 2023

Active tracking of space noncooperative object that merely relies on vision camera is greatly significant for autonomous rendezvous and debris removal. Considering its Partial Observable Markov Decision Process (POMDP) property, this letter proposes a novel deep recurrent neural network architecture

Cited by 20SourcecodeScholar
2022

Direct Trajectory Optimization of Free-Floating Space Manipulator for Reducing Spacecraft Variation

RA-L 2022

This letter investigates the direct trajectory optimization of the free-floating space manipulator (FFSM). The main purpose is to plan the joint space trajectories to reduce the spacecraft motion due to the joint rotation during the FFSM performing tasks. To improve the calculation efficiency, the a

Cited by 24SourceScholar