Fazel Naghdy

About

Fazel Naghdy is a leading figure in robotics and control systems, with a career dedicated to advancing human-robot interaction, teleoperation, and rehabilitation engineering. His research is anchored in three key areas: adaptive control for teleoperation systems, motion capture for robotics, and robot-assisted rehabilitation. Naghdy’s seminal survey on adaptive controllers in teleoperation (101 citations) systematically addressed master-slave model uncertainties and force estimation, providing a foundational framework for the field. He has also been instrumental in integrating motion capture technologies into robotic systems, authoring highly cited reviews (89 and 55 citations) that evaluate sensor systems and their applications. Notably, his work on robot-assisted stroke rehabilitation has had a direct clinical impact, with studies combining virtual reality and adaptive control to restore fine hand motion in chronic and subacute patients (56 and 31 citations). His development of the extended active observer for force estimation and disturbance rejection (67 citations) is a significant technical contribution to robotic manipulators. Through these efforts, Naghdy has bridged theoretical control with practical rehabilitation, earning over 530 citations across his most influential works and establishing himself as a key innovator in making robots safer and more effective partners in human environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Application of Adaptive Controllers in Teleoperation Systems: A Survey

   101 citations · 2014
2. 2
   Motion capture in robotics review

   89 citations · 2009
3. 3
   Extended active observer for force estimation and disturbance rejection of robotic manipulators

   67 citations · 2013
4. 4
   The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study

   56 citations · 2017
5. 5
   Human motion capture sensors and analysis in robotics

   55 citations · 2011
6. 6
   Learning Trajectories for Robot Programing by Demonstration Using a Coordinated Mixture of Factor Analyzers

   40 citations · 2015
7. 7
   Position and force tracking for non-linear haptic telemanipulator under varying delays with an improved extended active observer

   36 citations · 2015
8. 8
   Clinical effectiveness of combined virtual reality and robot assisted fine hand motion rehabilitation in subacute stroke patients

   31 citations · 2017
9. 9
   Control of autonomous airship

   28 citations · 2009
10. 10
    Robot-assisted post-stroke motion rehabilitation in upper extremities: a survey

    27 citations · 2016

Key Collaborators

Contact & Links