Papers
9
Total Citations
62
H-Index
5
About
Enrico Turco is a leading researcher in robotic manipulation, specializing in soft robotics, grasping strategies, and human-robot interaction. His major contributions center on exploiting hand compliance and environmental constraints to enable novel grasp types, such as slide-to-edge grasps for objects that cannot be picked directly, as detailed in his highly cited 2019 work (20 citations). Turco has advanced the field by integrating data-driven approaches, including topology optimization for gripper design and learning from human demonstrations to extract grasp primitives for non-anthropomorphic hands. His work on automated design of embedded constraints for soft hands (11 citations) enhances versatility in cluttered spaces, while his recent innovations address practical challenges like food handling with the Double-Scoop Gripper and reducing cognitive load in teleoperating robot swarms. Turco also bridges robotics and medicine, developing affordable interfaces for surgical training and augmented reality navigation for robot-assisted surgery. With over 60 total citations across his publications, his research consistently pushes the boundaries of dexterous manipulation and collaborative robotics, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
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- 7Soft Human-Robot Handover Using a Vision-Based Pipeline4 citations · 2024
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