Visar Arapi
University of Pisa, Piaggio (Italy), University of Klagenfurt
Papers
7
Total Citations
250
H-Index
6
About
Visar Arapi is a leading researcher at the intersection of soft robotics, human manipulation, and AI-driven autonomous systems. His work focuses on understanding how humans grasp and manipulate objects—particularly how they exploit environmental constraints—to design more dexterous, robust robotic hands. Arapi’s major contributions include developing data-driven architectures for autonomous grasping with anthropomorphic soft hands, as demonstrated in his highly cited 2019 paper (90 citations), which showed how compliant mechanical design enables robust adaptation to objects and environments. He also pioneered methods to transfer skilled human grasping expertise to robots, as seen in his 2020 work “Grasp It Like a Pro” (45 citations), and introduced a novel taxonomy for video labeling of human manipulation strategies (2021, 12 citations). His research on postural hand synergies during environmental constraint exploitation (2017, 79 citations) has been foundational for understanding human dexterity. More recently, Arapi has bridged the simulation-to-real gap for AI-based needle detection in robot-assisted ultrasound-guided interventions (2023, 12 citations), extending his impact to medical robotics. With over 250 total citations, Arapi’s work is shaping the future of soft robotic manipulation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2Postural Hand Synergies during Environmental Constraint Exploitation79 citations · 2017
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