Mehrzad Namvar
Concordia University, Sharif University of Technology, Canadian Space Agency
Papers
22
Total Citations
348
H-Index
10
About
Mehrzad Namvar is a robotics and control systems researcher whose work has significantly advanced the fields of adaptive robot control, velocity estimation, and human-robot interaction with uncertain environments. His most influential contribution, "Adaptive Force-Motion Control of Coordinated Robots Interacting with Geometrically Unknown Environments" (2005, 100 citations), broke new ground by addressing multi-robot coordination without requiring prior knowledge of environmental geometry — a critical limitation in real industrial applications. Namvar has made substantial strides in observer design, developing globally convergent velocity estimation methods for robotic manipulators that eliminate the need for direct velocity sensors, with related works accumulating over 57 citations combined. His research into joint-torque sensing further enhanced robot reliability, enabling more robust failure detection and adaptive control under dynamic uncertainties. Notably, Namvar pioneered spacecraft emulation techniques, designing manipulator-based systems capable of simulating zero-gravity conditions in laboratory settings — work with direct implications for space robotics testing. His combined contributions to hydraulic actuator control, actuator dynamics compensation, and adaptive force control collectively reflect a career dedicated to bridging theoretical rigor with practical robotic systems, earning him a respected presence in the international robotics research community.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Class of Globally Convergent Velocity Observers for Robotic Manipulators41 citations · 2009
- 3Adaptive control of manipulators using uncalibrated joint-torque sensing29 citations · 2006
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- 7Satellite simulator with a hydraulic manipulator16 citations · 2006
- 8Global adaptive estimation of joint velocities in robotic manipulators16 citations · 2010
- 9Adaptive force control of robots in presence of uncertainty in environment12 citations · 2006
- 10