Transparent force control for Body Extender. - Gastone Pietro Rosati Papini; Carlo Alberto Avizzano (RO-MAN, 2012)

Haptic hand-tremor simulation for enhancing empathy with disabled users. - Gastone Pietro Rosati Papini; Marco Fontana; Rocco Vertechy; Marcello Carrozzino; Massimo Bergamasco (RO-MAN, 2013)

A flexible framework for mobile based haptic rendering. - Emanuele Ruffaldi; Massimo Satler; Gastone Pietro Rosati Papini; Carlo Alberto Avizzano (RO-MAN, 2013)

Desktop Haptic Interface for Simulation of Hand-Tremor. - Gastone Pietro Rosati Papini; Marco Fontana; Massimo Bergamasco (IEEE Trans. Haptics, 2016)

Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving. - Mauro Da Lio; Alice Plebe; Daniele Bortoluzzi 001; Gastone Pietro Rosati Papini; Riccardo Donà (VEHITS, 2018)

Dreaming Mechanism for Training Bio-Inspired Driving Agents. - Alice Plebe; Gastone Pietro Rosati Papini; Riccardo Donà; Mauro Da Lio (IHSI, 2019)

Mental Imagery for Intelligent Vehicles. - Alice Plebe; Riccardo Donà; Gastone Pietro Rosati Papini; Mauro Da Lio (VEHITS, 2019)

On the Stability and Robustness of Hierarchical Vehicle Lateral Control With Inverse/Forward Dynamics Quasi-Cancellation. - Riccardo Donà; Gastone Pietro Rosati Papini; Mauro Da Lio; Luca Zaccarian (IEEE Trans. Veh. Technol., 2019)

A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars). - Mauro Da Lio; Riccardo Donà; Gastone Pietro Rosati Papini; Francesco Biral; Henrik Svensson (IEEE Access, 2020)

Agent Architecture for Adaptive Behaviors in Autonomous Driving. - Mauro Da Lio; Riccardo Donà; Gastone Pietro Rosati Papini; Kevin N. Gurney (IEEE Access, 2020)

Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks. - Alessandro Antonucci 002; Gastone Pietro Rosati Papini; Luigi Palopoli 002; Daniele Fontanelli (CoRR, 2020)

Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving Applications. - Alice Plebe; Julian F. P. Kooij; Gastone Pietro Rosati Papini; Mauro Da Lio (ICCVW, 2021)

Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks. - Alessandro Antonucci 002; Gastone Pietro Rosati Papini; Paolo Bevilacqua; Luigi Palopoli 002; Daniele Fontanelli (IEEE Access, 2022)

CACTO: Continuous Actor-Critic with Trajectory Optimization - Towards global optimality. - Gianluigi Grandesso; Gastone Pietro Rosati Papini; Patrick M. Wensing; Andrea Del Prete (CoRR, 2022)

Distributed cognition for collaboration between human drivers and self-driving cars. - Alice Plebe; Gastone Pietro Rosati Papini; Antonello Cherubini; Mauro Da Lio (Frontiers Artif. Intell., 2022)

The Biasing of Action Selection Produces Emergent Human-Robot Interactions in Autonomous Driving. - Mauro Da Lio; Riccardo Donà; Gastone Pietro Rosati Papini; Alice Plebe (IEEE Robotics Autom. Lett., 2022)

A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians. - Gastone Pietro Rosati Papini; Alice Plebe; Mauro Da Lio; Riccardo Donà (IEEE Trans. Intell. Transp. Syst., 2022)

Energy Costs of Safe Speed Policies in a Pedestrian-crossing Scenario. - Antonello Cherubini; Gastone Pietro Rosati Papini; Alice Plebe; Mauro Da Lio (IV, 2023)

Measurement System for Operator 5.0: a Learning Fatigue Recognition based on sEMG Signals. - Luca De Vito; Enrico Picariello; Francesco Picariello; Ioan Tudosa; Andrea Sbaragli; Gastone Pietro Rosati Papini; Francesco Pilati (MeMeA, 2023)

Complex self-driving behaviors emerging from affordance competition in layered control architectures. - Mauro Da Lio; Antonello Cherubini; Gastone Pietro Rosati Papini; Alice Plebe (Cogn. Syst. Res., 2023)

CACTO: Continuous Actor-Critic With Trajectory Optimization - Towards Global Optimality. - Gianluigi Grandesso; Elisa Alboni; Gastone Pietro Rosati Papini; Patrick M. Wensing; Andrea Del Prete (IEEE Robotics Autom. Lett., 2023)

CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization. - Elisa Alboni; Gianluigi Grandesso; Gastone Pietro Rosati Papini; Justin Carpentier; Andrea Del Prete (L4DC, 2024)

Generating Synthetic Vehicle Data Using Decentralized Generative Adversarial Networks. - Basem Shaker; Gastone Pietro Rosati Papini; Matteo Saveriano; Kuo-Yun Liang (IEEE Access, 2024)

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. - Mattia Piccinini; Aniello Mungiello; Georg Jank; Gastone Pietro Rosati Papini; Francesco Biral; Johannes Betz (CoRR, 2025)