Madhur Behl

収録論文 17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

• DBF-MA: A Differential Bayesian Filtering Planner for Multi-Agent Autonomous Racing Overtakes
  2025/9/1
• Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes
  2025/7/1
• HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing
  2025/3/1
• Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison
  2025/2/1
• DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing
  2024/11/1
• CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening
  2024/11/1
• ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing
  2024/1/1
• Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
  2023/12/1
• RACECAR -- The Dataset for High-Speed Autonomous Racing
  2023/6/1
• Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes
  2023/6/1
• Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom
  2022/9/1
• This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis
  2022/7/1
• Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
  2022/2/1
• Adaptive Lookahead Pure-Pursuit for Autonomous Racing
  2021/11/1
• Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning
  2020/5/1
• DeepRacing: Parameterized Trajectories for Autonomous Racing
  2020/5/1
• F1/10: An Open-Source Autonomous Cyber-Physical Platform
  2019/1/1