Giancarlo Marafioti
Papers
6
Total Citations
150
H-Index
6
About
Giancarlo Marafioti is a robotics researcher whose work focuses on bio-inspired locomotion, perception-driven control, and mobile robotics for search and rescue. His primary research areas include snake robot locomotion, obstacle-aided navigation, and nonlinear control systems. Marafioti’s major contributions center on enabling snake robots to perceive and exploit their environment—rather than simply avoiding obstacles—to move more efficiently through complex, confined, or hazardous spaces. His most cited work, *"Perception-Driven Obstacle-Aided Locomotion for Snake Robots: The State of the Art, Challenges and Possibilities"* (2017, 75 citations), provides a comprehensive review of how environmental contact can be leveraged for propulsion, a paradigm shift in snake robot design. He also advanced the field through virtual functional segmentation for perception-driven control and applied Nonlinear Model Predictive Control (NMPC) to snake robot path following. Beyond snake robots, Marafioti contributed to disaster robotics with the mono-wheeled flexible track system for climbing high steps and the SMURF software architecture for low-power mobile robots in search and rescue operations. His work bridges theoretical control methods with practical, field-ready robotic systems, making him a notable figure in the development of robots for extreme environments.
Research Focus
Key Achievements
Top Papers
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- 2A review on perception-driven obstacle-aided locomotion for snake robots31 citations · 2016
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