Mauro Marinoni
Papers
8
Total Citations
108
H-Index
5
About
Mauro Marinoni is a leading researcher in real-time systems, multi-agent robotics, and embedded AI, with a career dedicated to making autonomous systems both intelligent and predictable. His work bridges the gap between theoretical real-time computing and practical robotic applications, particularly in healthcare and autonomous navigation. Marinoni’s most impactful contribution is in telerehabilitation, where his 2019 paper on real-time multi-agent systems has garnered 41 citations, establishing a framework for safe, responsive robotic therapy. He also pioneered agent-based architectures for rehabilitation, identifying key challenges and future directions in a 2017 work cited 29 times. Beyond healthcare, Marinoni has advanced autonomous robot competitions by integrating real-time operating systems with multi-agent coordination, enabling robots to perform complex tasks like navigation and object recognition under strict timing constraints. His recent 2025 work on hardware accelerators for deep learning in real-time image processing (9 citations) addresses the critical need for efficient AI execution in drones and autonomous robots. With foundational contributions to energy-aware real-time systems and wireless mobile node localization, Marinoni’s research consistently emphasizes practical, deployable solutions that ensure safety and efficiency in cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Real-time multi-agent systems for telerehabilitation scenarios41 citations · 2019
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- 5Data fusion for relative localization of wireless mobile nodes9 citations · 2014
- 6Kernel Support for Energy Management in Wireless Mobile Ad-Hoc Networks3 citations · 2005
- 7Energy-Aware Strategies in Real-Time Systems for Autonomous Robots2 citations · 2004
- 8A six-legged robot: real-time issues and architecture2 citations · 2003