Hamidreza
Papers
1
Total Citations
19
H-Index
1
About
Hamidreza’s research centers on advancing physical human-robot interaction through adaptive control systems, with a particular focus on safety, stability, and task performance. His most influential work, “Model reference adaptive impedance control for physical human-robot interaction” (2016), has garnered 19 citations and introduces a novel dual-loop control architecture. The inner neuroadaptive loop enables the robot to learn its own dynamics online and behave like a prescribed impedance model, without relying on task-specific trajectories. The outer loop adapts this impedance to account for human operator dynamics, optimizing joint performance. This non-standard model reference adaptive control approach yields a controller that simultaneously provides assistive input and adaptive impedance features, significantly improving task performance in human-robot teams. Simulations on repetitive point-to-point motion tasks validate the framework’s effectiveness. Hamidreza’s contributions are particularly valuable for applications requiring safe, compliant, and adaptive collaboration between humans and robots, such as rehabilitation robotics and assistive manufacturing. His work bridges theoretical control advances with practical human-centered design, making him a notable figure in the adaptive impedance control community.
Research Focus
Key Achievements
Top Papers
- 1