Research

Work and publications

My research focuses on visual SLAM, robotic manipulation, and explainable AI systems. Below are my current projects and recent publications.

Research Projects

2025 · Internship

AI-Glasses Embedded with Agentic AI System

Building AI-Glasses embedded with an agentic AI system to enhance user interaction and experience through advanced perception and decision-making capabilities.

2025 · Internship

Robotic Arm Motion Planning Avoiding Singularity

Developed motion planning algorithms for robotic arms to avoid singularity issues, enhancing stability and precision in complex tasks. Implemented solutions leveraging advanced kinematics and real-time obstacle detection.

2025 · Competition

Stainless Steel International Standards AI Assistant System

An AWS-based intelligent system designed to assist technical personnel at Walsin Lihwa Corporation with questions related to international standards for stainless steel. The system leverages AI technologies to provide professional standard queries, standard comparisons, and document analysis services, automatically adjusting response complexity based on user expertise.

2025 · Master Research

Explainable System for Inverse Kinematics

Proposed explainable IK framework integrating SHAP and InterpretML. Designed Improved IKNet and Focused IKNet with balanced feature attribution and enhanced obstacle-avoidance stability.

2025 · Master Research and Graduate Mentor

iKnet Model Improvements for Low Computing Resource Environments

Rebuild iKnet models to optimize performance in environments with limited computing resources, focusing on efficiency and accuracy improvements.

2025 · Master Research and Graduate Mentor

GGCNN Model Improvements for Low Computing Resource Environments

Rebuild GGCNN models to optimize performance in environments with limited computing resources, focusing on efficiency and accuracy improvements.

2024-2025 · Master Research

Enhanced ORB-SLAM3 with Point-Cloud Refinement

Integrated YOLOv8-based dynamic filtering and CUDA-accelerated point cloud refinement. Achieved 25.9% reduction in ATE RMSE and 30.4% improvement in trajectory accuracy on KITTI dataset.

2023 · Undergraduate Capstone

Golf Swing Phenomena Analysis

Developed computer vision system for club and posture tracking using OpenCV, YOLO, and MediaPipe. Applied Lagrangian mechanics to model swing dynamics.

2022-2024 · Undergraduate Capstone

Omni-bearing Autonomous Mobile Manipulator

Built autonomous mobile robot integrating LiDAR, depth camera, and robotic arm under ROS2. Implemented SLAM navigation and vision-based elevator control.

Selected Publications

Journal Papers (Submitted/Under Review)

  • 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 (Submitted)

    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 (Submitted)

    arXiv
  • 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 (Submitted)

  • 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 (Submitted)

  • Layered Learning and Adaptive Progression: A Novel Framework for Enhancing Robotics Education Outcomes

    S.K. Chen, P.C Lin

    IEEE Transactions on Education (Submitted)

  • 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 (Under Review)

Conference Papers

  • 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

    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

  • 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

    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

    arXiv
  • 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

    IEEE