Mattia Pesenti
Papers
4
Total Citations
73
H-Index
3
About
Mattia Pesenti is a rising researcher at the forefront of wearable robotics and human-robot interaction, with a primary focus on developing intelligent, back-support exoskeletons for industrial applications. His work directly addresses the global challenge of work-related musculoskeletal disorders, particularly low-back pain, which is a leading cause of workplace absence. Pesenti’s major contributions include the design and integration of novel, cost-effective actuation systems, such as 3D-printed cycloidal drives, which enhance the flexibility and accessibility of exoskeletons for human-robot collaboration. He has also advanced the field by developing IMU-based methods for human activity recognition and payload classification, enabling exoskeletons to intelligently adapt to user actions. His most cited work, "IMU-based human activity recognition and payload classification for low-back exoskeletons" (2023), has garnered 58 citations, underscoring its impact on the path toward Industry 5.0’s human-centric production systems. Additionally, Pesenti has explored the modeling of neuromuscular dynamics through Linear Parameter-Varying identification of the EMG-force relationship, providing foundational insights for intuitive exoskeleton control. His research is pivotal in creating safer, more sustainable workplaces where technology seamlessly augments human capability.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4