Bruno Palma
Papers
1
Total Citations
5
H-Index
1
About
Bruno Palma is a robotics researcher whose work focuses on the critical challenge of autonomous robot navigation in real-world environments. His primary research area is path planning, with a particular emphasis on Probabilistic Roadmap (PRM) methods. In his most cited paper, "Which Probabilistic Roadmap method should be used by a robot in an actual environment? An analysis of the main methods through simulations" (2016, 5 citations), Palma provides a comprehensive comparative analysis of various PRM techniques through extensive simulations. This work serves as a practical guide for roboticists, helping them select the most appropriate path planning algorithm for specific operational conditions. By systematically evaluating the strengths and limitations of different PRM methods, Palma's research bridges the gap between theoretical algorithms and their deployment in physical environments. His contributions are particularly valuable for researchers and engineers working on autonomous systems that must navigate complex, unstructured spaces. Though his citation count is modest, his work represents an important step toward making robotic navigation more reliable and efficient in practical applications.
Research Focus
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Top Papers
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