Hadi Rahmat-Khah

Papers

Total Citations

H-Index

About

Hadi Rahmat-Khah’s research lies at the intersection of haptics, human-robot interaction, and shared control, with a focus on optimizing force feedback in collaborative robotic systems. His most-cited work introduces a novel Model Predictive Control (MPC) approach that addresses the challenge of rendering stable and intuitive force feedback when human behavior is uncertain. This contribution is particularly significant because it overcomes a key limitation of conventional adaptive and optimal control methods, which often fail when applied to popular haptic devices lacking accessible state-space models. By developing a framework that can handle these constraints, Rahmat-Khah’s research enables more seamless and responsive human-robot collaboration, with direct implications for teleoperation, rehabilitation robotics, and virtual reality systems. While his citation count is still growing, his work has been recognized for tackling a fundamental bottleneck in haptic shared control, offering a practical path forward for engineers and researchers working to improve the transparency and safety of physical human-robot interaction. His contributions continue to inform the design of smarter, more adaptive haptic interfaces.