Diogo Amorim

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About

Diogo Amorim is a robotics researcher whose work focuses on the critical challenge of autonomous navigation in complex, unstructured environments. His primary research area is path planning for mobile robots operating on rough terrain, a problem that extends far beyond the simple binary "free vs. occupied" space models used in traditional robotics. Amorim’s major contribution lies in developing physics-based optimization approaches that account for the real-world dynamics of vehicles like tracked robots, enabling them to traverse uneven ground safely and efficiently. His most cited work, "Towards efficient path planning of a mobile robot on rough terrain" (2014, 16 citations), establishes the foundational framework for this problem. He further refined these concepts in "A Physics-based Optimization Approach for Path Planning on Rough Terrains" (2015), demonstrating a practical, computationally feasible solution. While his citation counts reflect a focused, early-career impact, Amorim’s work is notable for bridging the gap between theoretical path planning algorithms and the physical constraints of field robotics, laying essential groundwork for applications in agriculture, search-and-rescue, and planetary exploration.