Research
Work and publications
My research interests include robotics, artificial intelligence, computer vision, intelligent systems, and integrated circuit design. I am particularly interested in integrating machine learning with real-world robotic applications to improve perception, localization, autonomy, and decision-making. My work explores topics such as robotic perception, visual SLAM, intelligent control, explainable AI, multimodal systems, AI accelerators, and RISC-V-based architectures, with the goal of developing intelligent technologies that can operate effectively and reliably in practical environments.
Research Projects
Research Assistant
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Publications
Journal
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arXiv
Explainable Neural Inverse Kinematics for Obstacle-Aware Robotic Manipulation: A Comparative Analysis of IKNet Variants
S.K. Chen, Y.L Tsai, C.C Chang, Y.C. Chen, P.C. Lin
Autonomous Robots
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arXiv
PCR-ORB: Enhanced ORB-SLAM3 with Point Cloud Refinement Using Deep Learning-Based Dynamic Object Filtering
S.K. Chen, J.Y. Chao, J.Y Chang, P.L. Wu, P.C Lin
Autonomous Robots
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Addressing Cognitive Load and Achievement Gaps in Introductory Computer Science: A Novel 5C-Loop Framework Integrating Layered Learning and Scaffolding
S.K. Chen, Y.D Liu, P.C Lin
IEEE Transactions on Education
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Learning-by-Doing and Scaffolding Strategies for Improving Learning Outcomes in EMI Internet of Things Courses
P.C Lin, S.K. Chen
IEEE Transactions on Education
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Layered Learning and Adaptive Progression: A Novel Framework for Enhancing Robotics Education Outcomes
S.K. Chen, P.C Lin
IEEE Transactions on Education
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IEEE
Machine-Learning Empowered Propagation Measurement and Modeling for an Amphitheater
S.Y. Lim, C.R. Ong, J.S. Chow, K. Lee, Q.P. Soo, J.H. Deng, J.K. Huang, S.K. Chen, Y.D. Liu, Y.C. Liu, H.C. Hsien
IEEE Access
Conference
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IEEE
Inverse Kinematics Neural Network Models for Improving Inference Efficiency and Memory Usage
S.K. Chen, Y.L Tsai, C.C Chang, Y.C. Chen, P.C. Lin
IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 2025
Kaohsiung, Taiwan
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IEEE
Efficient Grasp Detection via Knowledge Distillation: A Lightweight Generative Grasping Convolutional Neural Network Framework
S.K. Chen, J.Y. Chao, J.Y Chang, P.L. Wu, P.C Lin
International Conference on Control and Robotics (ICCR) 2025
Kyoto, Japan
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arXiv
An Intelligent AI Glasses System with Multi-Agent Architecture for Real-Time Voice Processing and Task Execution
S.K. Chen, J.H. Wu, C.Y. Lin, Y.T. Lin
National Computer Symposium (NCS) 2025
Yilan, Taiwan
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arXiv
Intelligent Singularity Avoidance in UR10 Robotic Arm Path Planning Using Hybrid Fuzzy Logic and Reinforcement Learning
S.K. Chen, J.H. Wu
Taiwan Academic Network Conference (TANET) 2025
Yilan, Taiwan
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IEEE
Analysis of Physical Phenomena in Golf Swing
S.K. Chen, T.Y. Liu, Y.D. Liu, H.C. Shih
IEEE International Conference on Multimedia and Expo Workshops (ICMEW) 2023
Brisbane, Australia
Publications
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