Ping‐Jung Hsieh

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Ping-Jung Hsieh is a robotics and automation researcher whose work bridges traditional medicine and modern engineering. His primary research areas include robotic manipulation, visual servoing, and automated dispensing systems. Hsieh’s most impactful contribution is the development of an automatic dispensing system for Traditional Chinese Herbs (2017, 8 citations), which addresses a longstanding challenge in herbal medicine preparation—the manual handling of irregularly shaped ingredients with inconsistent weights. This work demonstrates a practical application of robotics in healthcare and cultural preservation. In vision-based robotics, Hsieh has advanced stiffness estimation techniques for grasping systems (2016, 3 citations) and developed DSP-based uncalibrated visual servoing for 3-DOF robot manipulators (2016, 2 citations). His visual servoing research tackles classical problems in image-based control, such as singularities and local minima, by employing a virtual composite camera approach. While his citation counts reflect a developing career, Hsieh’s work is notable for its interdisciplinary nature—combining mechanical design, computer vision, and traditional knowledge systems—and for addressing real-world automation challenges that have direct societal impact.