Daniel Fonte

Papers

Total Citations

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About

Daniel Fonte is a robotics researcher whose work centers on motion planning and trajectory optimization for autonomous mobile robots operating in extreme, high-stakes environments. His primary contributions lie in developing specialized navigation methodologies for remote handling operations, particularly within the ITER fusion energy project. Fonte’s most cited paper, "Trajectory optimization for autonomous mobile robots in ITER" (2014, 19 citations), addresses the critical challenge of enabling robots to move safely and efficiently within the confined, hazardous spaces of a nuclear fusion facility. Complementing this, his earlier work, "A motion planning methodology for rhombic-like vehicles for ITER remote handling operations" (2010, 14 citations), introduces innovative control strategies for non-holonomic vehicles, a key step in advancing autonomous maintenance in radioactive environments. Though his citation counts are modest, Fonte’s research is highly targeted and practically significant, directly supporting the development of robust robotic systems for one of the world’s most demanding engineering projects. His work exemplifies how focused, application-driven research can solve real-world problems in nuclear robotics and autonomous navigation.