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
Curvature-Aware Model Predictive Contouring Control
L. Lyons / L. Ferranti
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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
EValueAction
a proposal for policy evaluation in simulation to support interactive imitation learning
Fiorella Sibona / Jelle Luijkx / Bas Van Der Heijden / Laura Ferranti / Marina Indri -
2023
Globally Guided Trajectory Planning in Dynamic Environments
O.M. de Groot / L. Ferranti / D. Gavrila / J. Alonso Mora
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2023
Online and offline learning of player objectives from partial observations in dynamic games
Lasse Peters / VicenƧ Rubies-Royo / Claire J. Tomlin / Laura Ferranti / Javier Alonso-Mora / Cyrill Stachniss / David Fridovich-Keil
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Nevenwerkzaamheden
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2022-01-01 - 2024-01-01