Michele Barsotti

About

Michele Barsotti is a leading researcher in rehabilitation robotics, whose work focuses on restoring motor function for stroke survivors and individuals with neurological injuries. His major contributions center on developing intelligent, user-driven robotic exoskeletons for the upper limb, integrating advanced biosignal processing to create intuitive human-machine interfaces. Barsotti’s most influential work, an EMG-controlled robotic hand exoskeleton for bilateral rehabilitation (341 citations), pioneered a design with intrinsic adaptability to hand size and a free-palm architecture, enabling natural grasp training. He further advanced the field by combining brain-computer interfaces with robotic exoskeletons for reaching tasks (217 citations), and by developing full upper limb systems for coordinated reaching and grasping (65 citations). His research is distinguished by its rigorous clinical validation, including a randomized control trial demonstrating the efficacy of 3D robotic exoskeleton training in chronic stroke (54 citations). Barsotti has also explored soft, synergy-based robotic gloves for grasping assistance and optimized myocontrol through neuromusculoskeletal modeling. His work consistently bridges engineering innovation with real-world clinical application, making him a pivotal figure in translating robotic rehabilitation from the lab to patient recovery.

Research Focus

Key Achievements

Top Papers

1. 1
   An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation

   341 citations · 2015
2. 2
   A New Gaze-BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-World Tasks

   217 citations · 2012
3. 3
   A full upper limb robotic exoskeleton for reaching and grasping rehabilitation triggered by MI-BCI

   65 citations · 2015
4. 4
   A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints

   56 citations · 2018
5. 5
   A randomized clinical control study on the efficacy of three-dimensional upper limb robotic exoskeleton training in chronic stroke

   54 citations · 2022
6. 6
   Online Finger Control Using High-Density EMG and Minimal Training Data for Robotic Applications

   53 citations · 2018
7. 7
   Kinematic Synergy of Multi-DoF Movement in Upper Limb and Its Application for Rehabilitation Exoskeleton Motion Planning

   41 citations · 2019
8. 8
   An emg-based robotic hand exoskeleton for bilateral training of grasp

   36 citations · 2013
9. 9
   A soft, synergy-based robotic glove for grasping assistance

   35 citations · 2021
10. 10
    An Orthopaedic Robotic-Assisted Rehabilitation Method of the Forearm in Virtual Reality Physiotherapy

    34 citations · 2018

Key Collaborators

Contact & Links