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Shu-Xiang Guo

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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

Design and Control of Single-Instrument Master-Slave System for Vascular Interventional Surgery

The penetration of commercial interventional robots into primary healthcare remains bottlenecked by prohibitive costs, spatial bulk, and intricate operability. To overcome these barriers, a footprint-reduced and economical robotic platform was designed in this work. Structurally, the execution-end utilizes a modular la...

Xinming Li, Yu-Jie Liao, Ruiwei Liu et al. · 0 citations
Conference Aug 2026

Edge-Accelerated Underwater Object Detection for AUVs: System Design and Deployment Validation

Robust and real-time visual perception is a critical prerequisite for the autonomous operation and closed-loop control of Underwater Vehicles (AUVs/ROVs). However, deploying advanced frequency-domain attention models, such as the Wavelet-based Frequency-Domain Attention (WFDA) network, on power- and compute-constrained...

Xueting Liu, Chun-Ying Li, Shu-Xiang Guo · 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

Stable Grasping Strategy for Robots on Flexible Mesh via Integration of Haptic Sensing and VLM

The maintenance of deep-sea net cages, specifically net cleaning and chemical coating application, is currently hindered by intensive labor requirements and the inherent risks of high-altitude maritime operations. Consequently, developing automated climbing robots offers significant advantages in both safety and operat...

Zi-Tong Liao, Sheng-Qian Qu, Wen-Bo Zhou 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
Preprint Aug 2026

StableMimic: Smooth Human-Like Recovery for Humanoid Motion Tracking - Learning Beyond the Tracking Distribution for Structured Post-Fall Behavior

StableMimic is presented, a unified tracker trained beyond the nominal tracking distribution that achieves the lowest errors on all four tracking metrics among five methods and attains the lowest values on six of seven post-fall motion and load measures, supporting improved interaction safety under this protocol.

Weihao Wu, Mingzhe Huang, Ruofei Liu et al. · 0 citations

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