Giorgio Toscana
Papers
4
Total Citations
41
H-Index
3
About
Giorgio Toscana is a robotics researcher whose work bridges accessibility, dexterous manipulation, and human-robot interaction. His most impactful contribution is the development of a low-cost, open-source, 3D-printable anthropomorphic robotic hand, specifically designed to reproduce Sign Language hand poses for deaf and deaf-blind users. This work, his most cited (27 citations), improved upon the InMoov hand by adding critical abduction/adduction degrees of freedom to the thumb, index, and middle fingers, significantly enhancing dexterity for communication. Beyond assistive robotics, Toscana has advanced perception and control for robotic arms. His work on fast graph-based object segmentation for RGB-D images and quaternion-based pose estimation (Q-PSO) provides efficient solutions for robots to understand and interact with their environment. He has also explored vocal interaction for object detection and grasping, enabling natural human-robot cooperation. By focusing on open-source designs and multimodal interaction, Toscana’s research makes sophisticated robotic capabilities more accessible, with a clear impact on assistive technology and intuitive robot control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fast Graph-Based Object Segmentation for RGB-D Images6 citations · 2017
- 3Q-PSO: Fast Quaternion-Based Pose Estimation from RGB-D Images6 citations · 2017
- 4