Antonio Besa
Papers
7
Total Citations
106
H-Index
5
About
Antonio Besa is a robotics and mechanical engineering researcher whose work spans trajectory planning, autonomous navigation, parallel kinematics, and biomechanics. With a career dedicated to advancing intelligent robotic systems, Besa has made significant contributions to how robots move efficiently and safely through complex environments. His most influential work, "Trajectory Planning in Workspaces with Obstacles Taking into Account the Dynamic Robot Behaviour" (2005), has accumulated 56 citations and remains a foundational reference for obstacle-aware motion planning that incorporates real dynamic constraints. Building on this, his research into autonomous light vehicles and car-like mobile robots demonstrates a consistent focus on energy-efficient, optimized navigation algorithms suited for real-world deployment. Besa has also tackled the challenging problem of singularity avoidance in parallel kinematic manipulators by minimizing actuator forces during reconfiguration, showcasing his depth in advanced mechanism design. Notably, his interdisciplinary reach extends into biomechanics, where he applied robotics formalism to identify subject-specific body segment inertial parameters, with applications in sport science and crash testing. Across his portfolio, Besa exemplifies rigorous integration of computational mechanics and dynamic modeling to solve practical engineering challenges.
Research Focus
Key Achievements
Top Papers
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- 5Efficient trajectory of a car-like mobile robot7 citations · 2019
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- 7Dynamic Calibration of Force Platforms by Means of a Parallel Robot2 citations · 2013