Biorobotics and Human Modeling Lab


Education

  • Ph.D., Kyoto University, Japan, 2002
  • M.S., Kyoto University, Japan, 1996
  • B.S., Kyoto University, Japan, 1994

Teaching Interests

Professor Ueda’s teaching interests encompass fundamental and advanced topics in mechanical engineering, with a specialized focus on robotics, system dynamics, and mechatronics. He is dedicated to delivering a comprehensive education at both the undergraduate and graduate levels, bridging the gap between classical engineering theories and modern modeling. His instruction emphasizes the integration of rigorous control principles with practical, human-centered robotic applications, fostering the critical thinking and problem-solving skills essential for leadership in engineering innovation and research.

Research Interests

Professor Ueda’s research focuses on biorobotics, human modeling, and intelligent mechatronic systems. His work addresses experimental and theoretical investigations of human-robot interaction, non-conventional actuation, physiological sensing, and integration. He aims to enhance the efficacy of rehabilitation and robotic assistance through the development of MRI-compatible devices, bio-inspired mechanisms, and resilient motion control strategies. His research actively involves collaboration with students to advance fundamental and applied knowledge in dynamic systems and healthcare engineering.

Recent Publications

  • Y Qiu, M Wu, LH Ting, J Ueda, Two-Stage Optimized Perturbation Design for Efficient Human Arm Impedance Identification With Device Dynamics Compensation, IEEE Transactions on Medical Robotics and Bionics, 2025.
  • J Ueda, Affine Transformation-based Perfectly Undetectable False Data Injection Attacks from Controller's Perspective on State-and Output Feedback Linear Control Systems, IEEE Transactions on Industrial Cyber-Physical Systems, 2025.
  • J Ueda, H Kwon, Perfectly undetectable reflection and scaling false data injection attacks via affine transformation on mobile robot trajectory tracking control, IEEE Transactions on Robotics, 2025.
  • J Ueda, J Schultz, and H Asada, Cellular Actuators: Modularity and Variability in Muscle-Inspired Actuation, Elsevier. 2017.
  • J Ueda, M Ding, V Krishnamoorthy, M Shinohara, T Ogasawara, “Individual Muscle Control using an Exoskeleton Robot for Muscle Function Testing,” IEEE Transactions on Neural and Rehabilitation Systems Engineering, 2010.