Matteo Rossi

About

Matteo Rossi is a leading researcher in assistive robotics, specializing in the development of intuitive control systems and sensory feedback mechanisms for prosthetic hands. His work centers on bridging the gap between human motor control and robotic dexterity, with a focus on reducing the high abandonment rates of myoelectric prostheses. Rossi’s major contributions include the design of HapPro, a wearable haptic device for proprioceptive feedback (80 citations), and the implementation of reflex control modes for the Pisa/IIT SoftHand to prevent object slippage (35 citations). He has pioneered multi-channel sEMG-driven control maps for prostheses and supernumerary limbs, enabling proportional and simultaneous control (12 citations), and explored electromyographic mapping of finger stiffness to improve grasp precision (12 citations). Rossi’s work on naturally controlled multi-synergistic prosthetic hands (14 citations) highlights his commitment to human-centered design. With over 150 total citations, his research is pivotal in advancing prosthetic functionality and user acceptance, making him a key figure in the field of rehabilitation robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   HapPro: A Wearable Haptic Device for Proprioceptive Feedback

   80 citations · 2018
2. 2
   Reflex control of the Pisa/IIT SoftHand during object slippage

   35 citations · 2016
3. 3
   Preliminary results toward a naturally controlled multi-synergistic prosthetic hand

   14 citations · 2017
4. 4
   Design and Assessment of Control Maps for Multi-Channel sEMG-Driven Prostheses and Supernumerary Limbs

   12 citations · 2019
5. 5
   Electromyographic mapping of finger stiffness in tripod grasp: a proof of concept

   12 citations · 2015

Key Collaborators

Contact & Links