Claudio Mazzotti
Papers
3
Total Citations
387
H-Index
3
About
Claudio Mazzotti is a leading researcher in rehabilitation robotics and human–machine interaction, with a primary focus on developing intelligent assistive technologies for stroke recovery. His most influential work centers on electromyography (EMG)-controlled robotic hand exoskeletons designed for bilateral rehabilitation of grasping functions. In his landmark 2015 paper, cited over 340 times, Mazzotti introduced a novel exoskeleton featuring intrinsic kinematic adaptability to individual hand sizes and a free-palm, free-finger design—enabling natural, patient-specific therapy. This system allows impaired hands to perform real object manipulation by translating EMG signals from the unaffected limb into controlled grasping force, effectively leveraging neuroplasticity for motor recovery. His earlier 2013 work laid the foundation for this approach, demonstrating preliminary bilateral training protocols. Beyond rehabilitation, Mazzotti has contributed to motion planning for mobile manipulators in unstructured environments, showcasing his versatility in robotics. His research has profound clinical implications, offering scalable, low-cost solutions for post-stroke motor rehabilitation, and his citation record underscores his impact on both engineering and therapeutic communities.
Research Focus
Key Achievements
Top Papers
- 1An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation341 citations · 2015
- 2An emg-based robotic hand exoskeleton for bilateral training of grasp36 citations · 2013
- 3