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Paolo Bevilacqua
Also published under:P. Bevilacqua
Affiliation
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
Topic
Nonlinear Programming,Optimal Control,Computation Time,Line Segment,Mixed-integer Nonlinear Programming,Optimization Problem,Path Planning,Shortest Path,Angle Θi,Discretion,Dynamic Programming,Final Angle,Light Detection And Ranging,Maximum Curvature,Nonholonomic,Optimal Control Theory,Parallelization,Presence Of Obstacles,Robot Motion,Straight Line,Action Plan,Additional Constraints,Angular Velocity,Attractive Forces,Automated Guided Vehicles,Boolean Variable,Brute Force,Cell Matrix,Communication Range,Computational Point Of View,Conditions Hold,Connectivity Constraints,Connectivity Estimates,Connectivity Maintenance,Consecutive Points,Constant Curvature,Constant Profile,Constant Speed,Constant Velocity,Convergence Guarantees,Cost Function,Deadlock,Deep Neural Network,Destination Node,Different Levels Of Abstraction,Direction Of Motion,Discrete Number,Discrete-time,Distancing Measures,Domain Parameters,
Biography
Paolo Bevilacqua received the master’s degree in computer science and the Ph.D. degree in information and communication technology from the University of Trento, Trento, Italy, in 2015 and 2019, respectively. He is currently a Postdoctoral Researcher with the Embedded Electronics and Computing Systems (EECS) Group, Department of Information Engineering and Computer Science (DISI), University of Trento. His current research interests focus mainly on motion planning for wheeled robots, and on socially compliant autonomous navigation in environments shared with humans.