Martino Migliavacca
Papers
8
Total Citations
67
H-Index
3
About
Martino Migliavacca is a robotics researcher dedicated to democratizing robot development through open-source hardware and software. His primary research areas center on rapid robot prototyping, modular robotics architectures, and real-time communication protocols for embedded robotic systems. Migliavacca’s most significant contribution is the creation of the Rapid Robot Prototyping (R2P) framework, an open-source modular platform that enables researchers and hobbyists to quickly build and iterate on robotic applications using off-the-shelf components. His seminal paper, “R2P: An open source hardware and software modular approach to robot prototyping” (2013), has garnered 42 citations, establishing the foundation for accessible robotics experimentation. He further advanced the field by developing RTCAN, a real-time CAN-bus protocol tailored for robotic control loops, and by demonstrating practical applications of the R2P framework in mobile robot development with motion and pose tracking. Migliavacca’s work on combining batch reinforcement learning with direct policy search for robot learning also showcases his versatility. Through his modular, low-cost approach, he has empowered a broader community to engage in robotics innovation, reducing barriers to entry and accelerating the pace of prototyping and discovery.
Research Focus
Key Achievements
Top Papers
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- 3Modular Low-Cost Robotics: What Communication Infrastructure?6 citations · 2011
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- 6RTCAN - A Real-time CAN-bus Protocol for Robotic Applications3 citations · 2013
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- 8Fitted policy search2 citations · 2011