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Author

Mattia Piccinini

Observed name: Piccinini, Mattia
ORCID: 0000-0003-0457-8777
Observed ORCID: 0000-0003-0457-8777
OpenAlex ID: A5037618668
Real-time optimal control of an autonomous RC car with minimum-time maneuvers and a novel kineto-dynamical model
2020 · Edoardo Pagot, Mattia Piccinini, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 36
A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control
2023 · Mattia Piccinini, Sebastiano Taddei, et al. · IEEE Access · 29
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Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles
2023 · Mauro Da Lio, Mattia Piccinini, et al. · IEEE Transactions on Intelligent Transportation Systems · 25
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Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks
2023 · Edoardo Pagot, Mattia Piccinini, et al. · IEEE Access · 24
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A predictive neural hierarchical framework for on-line time-optimal motion planning and control of black-box vehicle models
2022 · Mattia Piccinini, Matteo Larcher, et al. · Vehicle System Dynamics · 23
How optimal is the minimum-time manoeuvre of an artificial race driver?
2024 · Mattia Piccinini, Sebastiano Taddei, et al. · Vehicle System Dynamics · 13
MPTree: A Sampling-based Vehicle Motion Planner for Real-time Obstacle Avoidance
2024 · Mattia Piazza, Mattia Piccinini, et al. · IFAC-PapersOnLine · 13
Computationally Efficient Minimum-Time Motion Primitives for Vehicle Trajectory Planning
2024 · Mattia Piccinini, Simon Gottschalk, et al. · IEEE Open Journal of Intelligent Transportation Systems · 11
Impacts of g-g-v Constraints Formulations on Online Minimum-Time Vehicle Trajectory Planning
2024 · Mattia Piccinini, Sebastiano Taddei, et al. · IFAC-PapersOnLine · 10
Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach
2024 · Simon Gottschalk, Matthias Gerdts, et al. · International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) · 8
A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks
2025 · Mattia Piccinini, Matteo Zumerle, et al. · IEEE Open Journal of Intelligent Transportation Systems · 6
Vehicle Dynamics Learning From Physics Priors With Model-Structured Neural Networks
2026 · Aniello Mungiello, Felix Jahncke, et al. · IEEE Open Journal of Intelligent Transportation Systems · 4
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits
2025 · Mattia Piccinini, Sebastiano Taddei, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 4
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Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example
2026 · Felix Jahncke, Baha Zarrouki, et al. · IEEE Robotics and Automation Letters · 3
Real-Time Velocity Profile Optimization for Time-Optimal Maneuvering With Generic Acceleration Constraints
2025 · Mattia Piazza, Mattia Piccinini, et al. · IEEE Robotics and Automation Letters · 2
A Multi-Stage Time-Variant Motion Planner for Agile Autonomous Driving Maneuvers
2026 · Alexander Langmann, Stefan Kohl, et al. · IEEE Open Journal of Intelligent Transportation Systems · 1
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning
2025 · Moller, Korbinian, Stroop, Roland, et al. · arXiv (Cornell University) · 1
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A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams
2025 · Frederik Werner, Simon Sagmeister, et al. · IEEE Intelligent Vehicles Symposium · 1
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tonegas/nnodely-applications: v1.0-paper-CMAME
2026 · Gastone Pietro Rosati Papini, Mattia Piccinini, et al. · Zenodo (CERN European Organization for Nuclear Research)
Control-Informed Constraint Adaptation in Minimum-Time Trajectory Planning for Autonomous Racing
2026 · Schwehn, Ann-Kathrin, Langmann, Alexander, et al. · arXiv (Cornell University)
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SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
2026 · Li, Zhouheng, Zhao, Fangguo, et al. · arXiv (Cornell University)
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A Hybrid Sampling-Based Trajectory Planner with Game-Theoretic Guidance for Autonomous Racing
2026 · Langmann, Alexander, de Araujo, Frederico Pita, et al. · arXiv (Cornell University)
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Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
2026 · Gao, Yuan, Miao, Wenting, et al. · arXiv (Cornell University)
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Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
2026 · Jank, Georg, Piccinini, Mattia, et al. · arXiv (Cornell University)
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Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform
2026 · Piccinini, Mattia, Zambiasi, Patrick, et al. · arXiv (Cornell University)
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Works count: 36
Citation count: 214
H-index: 9
I10-index: 9
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