L. (Laura) Ferranti
L. (Laura) Ferranti
Profiel
I am currently an assistant professor at Delft University of Technology in the faculty of Mechanical, Maritime, and Materials Engineering in the Learning and Autonomous Control Group of the Cognitive Robotics (CoR) Department.
My work focuses on real-time model predictive control (MPC) for mobile-robot motion planning and control. In particular, my main research focuses on the computational aspects of MPC. The main techniques involved in my research are proximal gradient and splitting methods for convex and nonconvex optimization. My main application domains are automotive, aerospace, and maritime transportation.
For more information please visit my personal website:
Expertise
Publicaties
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2023
Distributed Nonlinear Trajectory Optimization for Multi-Robot Motion Planning
Laura Ferranti / Lorenzo Lyons / Rudy R. Negenborn / Tamas Keviczky / Javier Alonso-Mora
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2023
Time-Inverted Kuramoto Model Meets Lissajous Curves
Multi-Robot Persistent Monitoring and Target Detection
Manuel Boldrer / Lorenzo Lyons / Luigi Palopoli / Daniele Fontanelli / Laura Ferranti -
2022
COLREGs-aware Trajectory Optimization for Autonomous Surface Vessels
A. Tsolakis / D. Benders / O. De Groot / R. R. Negenborn / V. Reppa / L. Ferranti
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2022
Learning Mixed Strategies in Trajectory Games
L. Peters / David Fridovich-Keil / L. Ferranti / Cyrill Stachniss / Javier Alonso Mora / Forrest Laine
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2022
Where to Look Next: Learning Viewpoint Recommendations for Informative Trajectory Planning
M. Lodel / B.F. Ferreira de Brito / A. Serra Gomez / L. Ferranti / R. Babuska / J. Alonso Mora
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Nevenwerkzaamheden
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2022-01-01 - 2024-01-01