Amar Hajj‐Ahmad

Palo Alto University, Stanford University

Papers

Total Citations

H-Index

About

Amar Hajj‐Ahmad is a robotics researcher specializing in bio-inspired adhesion and robotic manipulation, with a particular focus on hybrid gripping systems that combine electrostatic and gecko-inspired adhesives. His work addresses the challenge of handling bulky, non-smooth, and deformable objects—a persistent hurdle in industrial and service robotics. Hajj‐Ahmad's major contributions include the development of hybrid electrostatic and gecko-inspired gripping pads that enable robots to lift and carry bulky items with minimal normal force, achieving a high effective coefficient of friction through controllable shear forces. His most-cited paper (2020, 21 citations) introduces this concept, while his subsequent work on an electrostatically actuated gecko adhesive clutch (2023, 16 citations) demonstrates a novel, power-efficient braking mechanism that requires only brief voltage pulses to switch states. In bimanual handling of deformable objects (2022, 12 citations), he extended these principles to dual-arm systems, enabling alignment on irregular surfaces. With a growing citation record and a focus on practical, energy-efficient solutions, Hajj‐Ahmad's research is paving the way for more versatile and adaptive robotic grippers in manufacturing and logistics.