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Author

Pengcheng Li

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Conference Aug 2026

FAST-TCN: A Frequency-Aware Spatio-Temporal Network for sEMG-Based Continuous Motion Prediction in Upper Limb Rehabilitation Robotics

Practical sEMG-based motion prediction for rehabilitation robotics faces two critical challenges: low robustness caused by inter-subject variability and signal non-stationarity, and mechanical safety hazards due to jittery control signals. Conventional Temporal Convolutional Network(TCN)-based methods often prioritize...

Junlin Jiang, Pengcheng Li, Jun Leng et al. · 0 citations
Conference Aug 2026

D-WLTS: A LiDAR Point Cloud Water-Land Segmentation Algorithm Based on Delaunay and Multi-Dimensional Topological Constraints

Water-land segmentation of LiDAR point clouds is crucial for the environment perception of amphibious robots. Addressing the lack of dedicated techniques for LiDAR point cloud water-land segmentation, this paper proposes a Delaunay topological constraint-based Water-Land Topological Segmentation algorithm (D-WLTS). Lev...

Senyang Zhao, Jinglei Nie, Chun-Ying Li et al. · 0 citations
Conference Aug 2026

Accurate Vascular Segmentation via Wavelet-Guided Edge Attention and Multi-Level Feature Fusion

Accurate vascular segmentation plays a critical role in medical image analysis, supporting disease diagnosis, surgical navigation, and treatment planning. However, existing methods often struggle to preserve fine vascular structures and maintain topological continuity due to low contrast, complex backgrounds, and scale...

Huiyin Xu, Shu-Xiang Guo, Pengcheng Li et al. · 0 citations
Conference Aug 2026

Design and Simulation-Based Flight Validation of a Synchronous Morphing Quadrotor

The ability to navigate through confined and complex environments remains a significant challenge for standard rotary-wing Unmanned Aerial Vehicles (UAVs). This paper presents the design, dynamic modeling, and simulation-based flight validation of a novel synchronous morphing quadrotor. Utilizing a streamlined single-a...

Junyu Zhou, Chun-Ying Li, Pengcheng Li et al. · 0 citations
Conference Aug 2026

A Composite Variable Impedance Control Architecture with Adaptive Feedforward Assistance for Rehabilitation Exoskeletons

Home-based rehabilitation exoskeletons often suffer from control instability due to low-cost force sensors. This paper presents a robust, sensorless Composite Variable Impedance Control architecture that separates trajectory tracking (virtual stiffness K) from active assistance (adaptive feedforward torque τassist). By...

Jun Leng, Pengcheng Li, Hanze Wang et al. · 0 citations

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