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About

Vahid Aminzadeh is a robotics researcher whose work bridges the critical gap between haptic feedback in surgery and dexterous manipulation in industry. His primary research areas include robotic palpation, haptic feedback systems, and metamorphic robotic hands for specialized tasks. Aminzadeh’s major contributions center on improving soft tissue examination in robot-assisted minimally invasive surgery. His most-cited work (15 citations) demonstrates how stiffness feedback on phantom silicone models can help surgeons detect hard nodules—potential abnormalities—during tele-manipulation, offering a cost-effective alternative to direct force feedback. He also pioneered force-velocity modulation strategies for real-time tissue parameter estimation, advancing tactile tools that reduce surgical time and improve accuracy. Beyond surgery, Aminzadeh designed a novel anthropomorphic metamorphic hand with a reconfigurable palm, analyzing its prehension and manipulability for meat deboning operations—a challenging industrial application. His work on friction compensation and control strategies for dexterous hands further underscores his expertise in robotic grasping. With over 60 combined citations across his key papers, Aminzadeh’s research has tangible impact in both medical robotics and industrial automation, making him a notable figure in haptics and robotic hand design.