Hamed Jabbari Asl

About

Hamed Jabbari Asl is a prominent robotics and control systems researcher whose work spans rehabilitation robotics, autonomous aerial vehicles, and advanced control theory. His most significant contributions lie in the development of assist-as-needed (AAN) control strategies for rehabilitation robots — intelligent systems designed to maximize patient participation during therapy while providing adaptive levels of support. His 2020 paper on field-based AAN control schemes has garnered 100 citations, establishing him as a leading voice in this specialized domain, while complementary works on velocity field control and robotic exoskeletons further demonstrate the breadth of his contributions to motor rehabilitation technology. Jabbari Asl has also made notable strides in autonomous unmanned aerial vehicles, particularly image-based visual servoing for quadrotors. His 2014 work on adaptive IBVS control of underactuated UAVs attracted 88 citations, reflecting its lasting influence on vision-guided drone navigation. Beyond these focal areas, he has advanced cable-driven parallel robot control using neural network techniques and developed bounded-input prescribed performance controllers for Euler–Lagrange systems. With multiple papers exceeding 25 citations and a cumulative scholarly footprint spanning rehabilitation engineering, aerial robotics, and nonlinear control, Jabbari Asl represents a versatile and impactful contributor to modern robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Field-Based Assist-as-Needed Control Schemes for Rehabilitation Robots

   100 citations · 2020
2. 2
   AN ADAPTIVE SCHEME FOR IMAGE-BASED VISUAL SERVOING OF AN UNDERACTUATED UAV

   88 citations · 2014
3. 3
   Adaptive neural network control of cable-driven parallel robots with input saturation

   53 citations · 2017
4. 4
   An assist-as-needed control scheme for robot-assisted rehabilitation

   39 citations · 2017
5. 5
   Bounded‐input prescribed performance control of uncertain Euler–Lagrange systems

   35 citations · 2018
6. 6
   Robust vision-based control of an underactuated flying robot tracking a moving target

   31 citations · 2013
7. 7
   Robust trajectory tracking control of cable-driven parallel robots

   29 citations · 2017
8. 8
   Neural network-based bounded control of robotic exoskeletons without velocity measurements

   26 citations · 2018
9. 9
   An Assist-as-Needed Velocity Field Control Scheme for Rehabilitation Robots

   26 citations · 2018
10. 10
    Satisfying Task Completion and Assist-as-Needed Performance in Robotic Exoskeletons

    25 citations · 2021

Key Collaborators

Contact & Links