Papers
4
Total Citations
66
H-Index
3
About
Ahmed Zermane is a robotics researcher whose work sits at the intersection of haptic sensing, human-robot interaction, and medical mechatronics. His most impactful contribution is the development of a soft skin with self-decoupled three-axis force-sensing taxels (2024, 53 citations), a breakthrough that enables robots to perceive contact forces with high precision and directionality—critical for safe and intuitive physical collaboration. Zermane has also advanced the field of human-robot handovers using task-space quadratic programming (2022), addressing the synchronized timing and constraint satisfaction needed for seamless object exchange between humans and machines. In the medical domain, he designed and built a 3-PRS parallel robotic platform for vertigo diagnosis and rehabilitation (2023), offering a cost-effective tool for dynamic posturography. His work on impact-driven logistic tasks (2024) further demonstrates his ability to model and control robotic systems under dynamic constraints. With a growing citation record and contributions spanning sensor design, control theory, and clinical robotics, Zermane is establishing himself as a versatile engineer whose innovations directly support safer, more capable robots in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1A soft skin with self-decoupled three-axis force-sensing taxels53 citations · 2024
- 2Planning Impact-Driven Logistic Tasks7 citations · 2024
- 3
- 4Human-Robot Handovers using Task-Space Quadratic Programming3 citations · 2022