Papers

4

Total Citations

28

H-Index

3

About

Andrea Grazioso is a rising figure in the field of robotic locomotion and multibody dynamics, with a focused expertise in the design and simulation of tracked vehicles. His major contributions center on the development and validation of a novel tracked robot featuring a passive articulated suspension system. Using advanced multibody dynamics software like MSC Adams, Grazioso has created high-fidelity models that accurately predict vehicle behavior, bridging the gap between theoretical design and real-world performance. His most cited work, "Modeling and validation of a novel tracked robot via multibody dynamics" (2023), has garnered 16 citations, establishing a foundation for future research in robust, off-road robotics. Beyond tracked vehicles, Grazioso has also explored rehabilitation and assistive technologies, contributing to a smart demonstration unit for upper-limb myoelectric prostheses and developing a multibody approach for estimating finger forces in robotic hands. This breadth of work—from heavy-duty locomotion to delicate prosthetic control—demonstrates his versatility and impact. With a growing citation record and a clear trajectory toward practical, simulation-driven design, Grazioso is a promising researcher shaping the next generation of mobile and assistive robots.

Research Focus

Key Achievements

3
H-Index
4
Papers
28
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and validation of a novel tracked robot <i>via</i> multibody dynamics
16 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Polytechnic University of Bari, Center for Micro-BioRobotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago