Mattia Piccinini
収録論文 21本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators2026/7/1
- Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving2026/7/1
- A Hybrid Sampling-Based Trajectory Planner with Game-Theoretic Guidance for Autonomous Racing2026/7/1
- SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing2026/7/1
- Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform2026/5/1
- Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing2026/5/1
- EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving2026/4/1
- StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving2026/3/1
- Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?2025/11/1
- Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning2025/10/1
- Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving2025/10/1
- Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning2025/9/1
- Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints2025/9/1
- MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks2025/7/1
- Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars2025/7/1
- Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example2025/6/1
- Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis2025/6/1
- A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams2025/4/1
- Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning2025/4/1
- From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios2025/2/1
- Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits2025/2/1