Yuan‐Ting Zhang

About

Yuan-Ting Zhang is a pioneering figure at the intersection of robotics, automation, and healthcare technology. His research spans two transformative domains: the optimization and control of redundant robotic manipulators, and the vision of Healthcare 4.0. In robotics, Zhang made foundational contributions by formulating complex motion planning and torque optimization problems—including obstacle avoidance and physical constraints—as unified quadratic programming (QP) frameworks solved by recurrent neural networks. His seminal 2004 paper on this approach has garnered over 306 citations, while his work on dual neural networks for obstacle avoidance has accumulated 200 citations. More recently, Zhang has been a driving force behind the convergence of automation, biomedical engineering, and health informatics, coining and advancing the concept of Healthcare 4.0. His highly cited 2020 paper on homecare robotic systems (203 citations) and his 2018 special section introduction (153 citations) articulate how cyber-physical systems and Industry 4.0 technologies are reshaping the entire healthcare value chain. Through these contributions, Zhang has not only advanced theoretical robotics but also charted a practical roadmap for intelligent, autonomous homecare systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A Unified Quadratic-Programming-Based Dynamical System Approach to Joint Torque Optimization of Physically Constrained Redundant Manipulators

   306 citations · 2004
2. 2
   Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies

   203 citations · 2020
3. 3
   Obstacle Avoidance for Kinematically Redundant Manipulators Using a Dual Neural Network

   200 citations · 2004
4. 4
   Introduction to the Special Section: Convergence of Automation Technology, Biomedical Engineering, and Health Informatics Toward the Healthcare 4.0

   153 citations · 2018

Key Collaborators

Contact & Links