Ph.D. Student in Electrical & Computer Engineering at Texas A&M University
Robotics · Automation · Computer Vision
I work on robotic assembly, simulation, perception, and intelligent manufacturing systems, with experience spanning NVIDIA Isaac Sim, industrial robots, computer vision, PLC automation, and embedded sensing.
Geometry-aware robotic assembly planning with simulation validation in NVIDIA Isaac Sim and physical robot execution.
Manuscript under review.
Manual-guided vision for assembly-part segmentation using 2D structural guidance under clutter and occlusion.
Industry 4.0 system integrating machine-vision classification, supervisory mapping, PLC ladder logic, and physical automation outputs, developed as hands-on laboratory material for a four-year undergraduate engineering curriculum.
Embedded pressure/IMU acquisition with WebSocket streaming, concurrent Node.js processing, and live visualization.
Python · C++ · NVIDIA Isaac Sim · ROS2 · PyTorch · PhysX · Computer Vision · PLC Automation · Git
- Robotic manipulation and assembly
- NVIDIA Isaac Sim / USD / PhysX
- Computer vision and image segmentation
- FANUC and ABB industrial robots
- PLC ladder logic and manufacturing automation
- Embedded sensing and real-time systems
- Design and Evaluation of an Assembly Part Segmentation Framework Using 2D Structural Guidance for Robotic Manipulation in Confined Workspaces — International Journal of Advanced Manufacturing Technology, 2026
- Bridging the Gaps: A Flexible Automated Object Classification System for PLC, Machine Learning, and Industry 4.0 Education — Journal of Advanced Technological Education, 5(1), 2026
- GitHub: CY-Kuo
- Email: kuocy@tamu.edu
- Google Scholar: Chia Ying Kuo