Manuel Pencelli

Papers

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About

Manuel Pencelli is a leading voice in field robotics, with a sharp focus on autonomous navigation and robust control for challenging, unstructured environments. His research is pivotal to advancing automation in agriculture and the energy sector, where robots must contend with rough terrain, inclines, and extreme conditions. Pencelli’s major contribution lies in developing path-tracking controllers for tracked mobile robots, directly addressing the critical problem of maintaining precise trajectories despite severe ground disturbances—a key bottleneck for labor-saving agricultural automation. His most cited work, “Path-Tracking Controller for Tracked Mobile Robot on Rough Terrain” (2019, 12 citations), provides foundational solutions for this challenge. Further demonstrating his impact, his 2024 study, “Testing the Robustness of Quadruped Robots for Unmanned Inspection Activities in the Energy Industry” (5 citations), rigorously validates the use of legged robots for safer, cost-effective asset inspection in hazardous environments. By bridging robust control theory with real-world deployment, Pencelli’s work is instrumental in making unmanned inspection and automated agriculture both practical and reliable, directly contributing to safer, more efficient industrial operations.