Gastone Pietro Rosati Papini
Orcid: 0000-0003-1075-9603
According to our database1,
Gastone Pietro Rosati Papini authored at least 26 papers
between 2012 and 2026.
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Collaborative distances:
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Bibliography
2026
The Green Co-Driver: A Human-Interactive Self-Driving System That Improves the Energy Efficiency of Road Vehicles.
IEEE Access, 2026
2025
Bootstrapped Neural Models for Predicting Self-Driving Vehicle Collisions With Quantified Confidence: Offline and Online Applications.
IEEE Trans. Intell. Veh., December, 2025
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
2024
Generating Synthetic Vehicle Data Using Decentralized Generative Adversarial Networks.
IEEE Access, 2024
CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
CACTO: Continuous Actor-Critic With Trajectory Optimization - Towards Global Optimality.
IEEE Robotics Autom. Lett., June, 2023
Complex self-driving behaviors emerging from affordance competition in layered control architectures.
Cogn. Syst. Res., June, 2023
Measurement System for Operator 5.0: a Learning Fatigue Recognition based on sEMG Signals.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2022
A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians.
IEEE Trans. Intell. Transp. Syst., 2022
The Biasing of Action Selection Produces Emergent Human-Robot Interactions in Autonomous Driving.
IEEE Robotics Autom. Lett., 2022
Frontiers Artif. Intell., 2022
CACTO: Continuous Actor-Critic with Trajectory Optimization - Towards global optimality.
CoRR, 2022
Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks.
IEEE Access, 2022
2021
Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving Applications.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks.
CoRR, 2020
A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars).
IEEE Access, 2020
2019
On the Stability and Robustness of Hierarchical Vehicle Lateral Control With Inverse/Forward Dynamics Quasi-Cancellation.
IEEE Trans. Veh. Technol., 2019
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019
Proceedings of the Intelligent Human Systems Integration 2019, 2019
2018
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018
2016
2013
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013
2012
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012