Roberto Ambrosio
Papers
3
Total Citations
20
H-Index
3
About
Roberto Ambrosio is a robotics researcher whose work focuses on advancing autonomous navigation and manipulation for industrial and specialized applications. His primary research areas include path planning for mobile robots, high-degree-of-freedom (DOF) robotic manipulators, and bio-inspired robotic behaviors. Ambrosio’s most notable contribution is the development of a multiple-target homotopic quasi-complete path planning method using a piecewise linear approach, which enables inspection robots to efficiently navigate through critical sectors in thermal and nuclear environments—a key innovation for industrial safety and automation. He also explored a novel multiple-query resistive grid-based planning method for high-DOF manipulators, addressing complex challenges in space, surgical, and pharmaceutical robotics. With over 20 citations across his top works, Ambrosio’s impact is evident in both theoretical advances and practical applications. His earlier work on designing and experimenting with bio-inspired chromatic behaviors in surveillance robots demonstrates a creative interdisciplinary approach, drawing from nature to solve traditional robotics problems. Ambrosio’s research continues to push the boundaries of autonomous systems, making him a valuable contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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