Gastone Pietro Rosati Papini

Orcid: 0000-0003-1075-9603

According to our database1, Gastone Pietro Rosati Papini authored at least 23 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Energy Costs of Safe Speed Policies in a Pedestrian-crossing Scenario.
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

Distributed cognition for collaboration between human drivers and self-driving cars.
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

Agent Architecture for Adaptive Behaviors in Autonomous Driving.
IEEE Access, 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

Mental Imagery for Intelligent Vehicles.
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019

Dreaming Mechanism for Training Bio-Inspired Driving Agents.
Proceedings of the Intelligent Human Systems Integration 2019, 2019

2018
Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

2016
Desktop Haptic Interface for Simulation of Hand-Tremor.
IEEE Trans. Haptics, 2016

2013
A flexible framework for mobile based haptic rendering.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

Haptic hand-tremor simulation for enhancing empathy with disabled users.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

2012
Transparent force control for Body Extender.
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012


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