Maximiliano Marufo
Papers
1
Total Citations
47
H-Index
1
About
Maximiliano Marufo is a leading researcher in safe human-robot interaction, with a focused expertise in capacitive tactile sensing and proximity perception for collaborative robotics. His most-cited work, "Methods for safe human-robot-interaction using capacitive tactile proximity sensors" (2013, 47 citations), demonstrates a pioneering approach to closing the near-field perception gap in robotics. By arranging capacitive sensor modules into a matrix, Marufo enabled robots to model events occurring in their immediate vicinity, effectively creating a sensitive "skin" that allows machines to detect and respond to nearby humans before physical contact occurs. This foundational contribution addresses a critical safety challenge in human-robot collaboration, where traditional vision-based systems often fail in close proximity. Marufo’s innovations have influenced subsequent developments in tactile sensing arrays and proximity detection, providing a practical pathway toward safer, more intuitive robotic systems. His work remains a key reference for researchers exploring capacitive sensing as a non-invasive, high-resolution method for real-time human-robot interaction, underscoring his role in advancing the field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1