Tz-Han Jung

Southern Taiwan University of Science and Technology

Papers

Total Citations

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About

Tz-Han Jung is a researcher specializing in robotics kinematics and FPGA-based hardware acceleration. His work focuses on overcoming computational bottlenecks in robot manipulator control by implementing complex mathematical operations directly in hardware. Jung’s major contributions include developing fixed-point computation methods for forward and inverse kinematics, which enable faster and more efficient trajectory planning for industrial robots. His most cited paper, "Fixed-point computation of robot kinematics in FPGA" (2014, 11 citations), presents a novel approach to accelerating kinematic modeling by leveraging FPGA architecture. In related work, he addressed the challenge of implementing arctangent and arccosine functions—critical for inverse kinematics—in hardware, achieving significant speed improvements over traditional processing systems. These contributions are particularly valuable for real-time robotic control applications where computational latency is a limiting factor. Jung’s research bridges the gap between theoretical robotics and practical hardware implementation, offering solutions that enhance the performance of industrial manipulators. His work continues to influence the development of efficient, high-speed robotic systems.