Papers
8
Total Citations
52
H-Index
4
About
Valerio Bo is a roboticist advancing the frontier of soft manipulation and human-robot collaboration. His research centers on designing intelligent, compliant grippers and control strategies that enable robots to handle complex tasks—from grasping fragile food items to teleoperating multi-robot swarms. Bo’s major contributions include pioneering the “slide-to-edge” grasp method for soft underactuated hands (20 citations), which exploits environmental constraints to pick objects otherwise unreachable. He also developed the “Double-Scoop Gripper,” a tendon-driven soft-rigid end-effector tailored for food handling in narrow spaces, and introduced a data-driven topology optimization framework for designing robotic grippers. Notably, his work on reducing cognitive load in swarm teleoperation through shared control (5 citations) and a vision-based pipeline for soft human-robot handovers (4 citations) demonstrates a commitment to intuitive, safe interaction. Bo’s achievements have been published in top venues like *IEEE Robotics and Automation Letters* and *Soft Robotics*, reflecting his impact on both fundamental grasping theory and practical applications in food handling and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 6Soft Human-Robot Handover Using a Vision-Based Pipeline4 citations · 2024
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