Rahul Mangharam

収録論文 35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

• AD-MPCC: Adaptive Differentiable Model Predictive Contouring Control for Autonomous Racing
  2026/7/1
• AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
  2026/6/1
• STL-SVPIO: Signal Temporal Logic guided Stein Variational Path Integral Optimization
  2026/3/1
• Nonplanar Model Predictive Control for Autonomous Vehicles with Recursive Sparse Gaussian Process Dynamics
  2026/2/1
• AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
  2026/2/1
• SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks
  2026/2/1
• A Bimanual Gesture Interface for ROS-Based Mobile Manipulators Using TinyML and Sensor Fusion
  2025/9/1
• Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap
  2025/3/1
• STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
  2024/12/1
• PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
  2024/4/1
• Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
  2024/3/1
• Learning Local Control Barrier Functions for Hybrid Systems
  2024/1/1
• AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible
  2023/12/1
• Safe Control Synthesis for Hybrid Systems through Local Control Barrier Functions
  2023/11/1
• Learning Adaptive Safety for Multi-Agent Systems
  2023/9/1
• Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
  2023/4/1
• Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
  2023/3/1
• MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
  2023/3/1
• Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces
  2023/3/1
• Physics Constrained Motion Prediction with Uncertainty Quantification
  2023/2/1
• Towards Explainability in Modular Autonomous Vehicle Software
  2022/12/1
• Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom
  2022/9/1
• Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor
  2022/9/1
• Game-theoretic Objective Space Planning
  2022/9/1
• A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing
  2022/9/1
• Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks
  2022/9/1
• Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack
  2022/6/1
• Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
  2022/2/1
• Gradient-free Multi-domain Optimization for Autonomous Systems
  2022/2/1
• Stress Testing Autonomous Racing Overtake Maneuvers with RRT
  2021/10/1
• Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars
  2021/7/1
• Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
  2021/1/1
• Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility
  2020/6/1
• FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
  2020/3/1
• F1/10: An Open-Source Autonomous Cyber-Physical Platform
  2019/1/1