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:
Publicaties
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2021
Active Safety System for Semi-Autonomous Teleoperated Vehicles
Smit Saparia / Andreas Schimpe / Laura Ferranti
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2021
DeepKoCo
Efficient latent planning with a task-relevant Koopman representation
Bas van der Heijden / Laura Ferranti / Jens Kober / Robert Babuska -
2021
Integrated nonlinear model predictive control for automated driving
Nishant Chowdhri / Laura Ferranti / Felipe Santafé Iribarren / Barys Shyrokau
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2021
Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
O.M. de Groot / Bruno Brito / Laura Ferranti / Dariu Gavrila / Javier Alonso-Mora
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2020
Survey on Wheel Slip Control Design Strategies, Evaluation and Application to Antilock Braking Systems
Francesco Pretagostini / Laura Ferranti / Giovanni Berardo / Valentin Ivanov / Barys Shyrokau
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