Papers

5

Total Citations

234

H-Index

3

About

Matthew DiCicco is a pioneering figure in the fields of assistive robotics and planetary manipulation, whose work bridges the gap between human rehabilitation and extraterrestrial exploration. His most impactful contribution is the development of an EMG-controlled hand exoskeleton for natural pinching (2004, 194 citations), a groundbreaking device that enables individuals with partial hand paralysis—often resulting from spinal cord injuries—to regain the ability to perform daily tasks. This work directly addresses a critical need, offering a lightweight, intuitive solution that leverages residual muscle signals for control. DiCicco’s expertise also extends to space robotics, where he has made significant strides in vision-guided manipulation. His research on the End-Effector Position Error Compensation (EPEC) algorithm (2007, 18 citations) and related studies (2009, 18 citations) provide computationally efficient methods for achieving subpixel accuracy in robotic arm positioning under the stringent constraints of planetary missions. These contributions are vital for autonomous sample collection and assembly on Mars and beyond. Additionally, his work on force control for heavy lift manipulators (2005) demonstrates a commitment to enhancing human-robot collaboration in industrial settings. With a career that seamlessly integrates clinical rehabilitation and space exploration, DiCicco’s research has a profound and lasting impact on both human quality of life and the future of robotic autonomy.

Research Focus

Key Achievements

3
H-Index
5
Papers
234
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
An EMG-Controlled Hand Exoskeleton for Natural Pinching
194 citations · 2004
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Jet Propulsion Laboratory, California Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago