Guanting Chen

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Guanting Chen is a researcher specializing in embedded systems, robotics, and real-time computer vision, with a particular focus on the integration of hardware-accelerated visual processing for autonomous robot control. His most recognized work centers on the development of FPGA-based implementations of robot control systems enhanced with 3D vision capabilities — a technically demanding intersection of digital hardware design, image processing, and robotic motion planning. Chen's notable contribution lies in demonstrating how Field-Programmable Gate Arrays (FPGAs) can be effectively leveraged to support position-based visual servo control, enabling robots to operate intelligently within 3D workspaces using real-time feature extraction and spatial feedback. This approach addresses a critical challenge in robotics: achieving fast, reliable, and computationally efficient vision-driven motion control without relying solely on general-purpose processors. While Chen's citation record is currently emerging, with his primary publication accumulating approximately 7 citations across indexed venues, his work represents meaningful progress in the practical deployment of vision-guided robotic systems using reconfigurable hardware. For students and researchers exploring the convergence of FPGA design and intelligent robotics, Chen's contributions offer a valuable technical foundation and a compelling proof-of-concept for hardware-software co-design in autonomous systems.