Papers
16
Total Citations
491
H-Index
9
About
Kamran Iqbal is a multidisciplinary researcher whose work spans biomechanics, robotics, motor control, and neurorehabilitation engineering. His scholarship bridges computational modeling and clinical application, making significant contributions to our understanding of human movement and intelligent systems design. Iqbal's most influential work includes a landmark survey on collision detection (2007, 164 citations), which became a foundational reference in computer graphics, surgical simulation, and robotics. His highly cited systematic review on muscle synergies (2018, 124 citations) advanced understanding of how the central nervous system coordinates movement, with direct implications for neurorehabilitation. His work on biomedical soft robots (2020, 95 citations) further demonstrates his forward-looking engagement with assistive and medical technologies. Beyond surveys, Iqbal has developed sophisticated biomechanical models—including 3D bipedal frameworks for sit-to-stand transfer and ankle robotics assistance for stroke rehabilitation—revealing his commitment to translating engineering principles into tools that improve human health outcomes. His more recent survey on reinforcement learning for automation (2024) signals an expanding interest in AI-driven optimization. Collectively, his research reflects a career dedicated to understanding and augmenting human motor function through rigorous computational and experimental methods.
Research Focus
Key Achievements
Top Papers
- 1Collision detection: A survey164 citations · 2007
- 2
- 3Biomedical soft robots: current status and perspective95 citations · 2020
- 4Contact Detection Algorithms14 citations · 2009
- 5
- 6Arm-manipulator coordination for load sharing using predictive control13 citations · 2003
- 7
- 8A Survey of Reinforcement Learning for Optimization in Automation12 citations · 2024
- 9
- 10