Mykel J. Kochenderfer
収録論文 106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
- Protection Levels for Vision-Based Pose Estimation2026/8/1
- Semi-Decentralized Multi-Spacecraft Collision Avoidance under Communication Constraints2026/7/1
- Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles2026/7/1
- Mechanistic Interpretability for Learning Assurance of a Vision-Based Landing System2026/5/1
- Foundational World Models Accurately Detect Bimanual Manipulator Failures2026/3/1
- World Model Failure Classification and Anomaly Detection for Autonomous Inspection2026/2/1
- SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving2025/10/1
- Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance2025/10/1
- Adaptive Science Operations in Deep Space Missions Using Offline Belief State Planning2025/10/1
- Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers2025/9/1
- Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System2025/8/1
- Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers2025/7/1
- Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering2025/7/1
- Diffusion Models for Safety Validation of Autonomous Driving Systems2025/6/1
- Model Identification Adaptive Control with $\rho$-POMDP Planning2025/5/1
- Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals2025/5/1
- Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows2025/1/1
- Sliced Distribution Matching based on Cumulative Distribution Functions with Applications to Control2024/12/1
- Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals2024/12/1
- SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models2024/11/1
- Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments2024/11/1
- Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving2024/7/1
- Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features2024/7/1
- Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems2024/6/1
- SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks2024/5/1
- Distributed Online Planning for Min-Max Problems in Networked Markov Games2024/5/1
- Learning-based Methods for Adaptive Informative Path Planning2024/4/1
- Approximate Sequential Optimization for Informative Path Planning2024/2/1
- Disentangled Neural Relational Inference for Interpretable Motion Prediction2024/1/1
- Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation2024/1/1
- Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments2024/1/1
- Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing2023/11/1
- Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation2023/11/1
- Constrained Hierarchical Monte Carlo Belief-State Planning2023/10/1
- Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving2023/10/1
- Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments2023/9/1
- SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning2023/9/1
- Robust Driving Policy Learning with Guided Meta Reinforcement Learning2023/7/1
- Efficient Determination of Safety Requirements for Perception Systems2023/7/1
- Deep Normalizing Flows for State Estimation2023/6/1
- Model-based Validation as Probabilistic Inference2023/5/1
- Experience Filter: Using Past Experiences on Unseen Tasks or Environments2023/5/1
- Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs2023/4/1
- Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions2023/3/1
- Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments2023/2/1
- Fast and Scalable Signal Inference for Active Robotic Source Seeking2023/1/1
- Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction2022/11/1
- Optimality Guarantees for Particle Belief Approximation of POMDPs2022/10/1
- LOPR: Latent Occupancy PRediction using Generative Models2022/10/1
- Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing2022/9/1
- Risk-aware Meta-level Decision Making for Exploration Under Uncertainty2022/9/1
- Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems2022/9/1
- Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments2022/9/1
- EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction2022/8/1
- Uncertainty-Aware Online Merge Planning with Learned Driver Behavior2022/7/1
- Risk-Driven Design of Perception Systems2022/5/1
- Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers2022/4/1
- SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments2022/4/1
- Model Predictive Optimized Path Integral Strategies2022/3/1
- How Do We Fail? Stress Testing Perception in Autonomous Vehicles2022/3/1
- Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning2022/1/1
- Multi-Agent Variational Occlusion Inference Using People as Sensors2021/9/1
- 3D Radar Velocity Maps for Uncertain Dynamic Environments2021/7/1
- Verification of Image-based Neural Network Controllers Using Generative Models2021/5/1
- Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual2021/5/1
- Preference-based Learning of Reward Function Features2021/3/1
- Transfer Learning for Efficient Iterative Safety Validation2020/12/1
- Out-of-Distribution Detection for Automotive Perception2020/11/1
- Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments2020/11/1
- Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders2020/10/1
- Attention Augmented ConvLSTM for Environment Prediction2020/10/1
- Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments2020/7/1
- Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning2020/6/1
- Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM2020/6/1
- Active Preference-Based Gaussian Process Regression for Reward Learning2020/5/1
- Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic2020/5/1
- Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints2020/5/1
- Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition2020/4/1
- STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times2020/4/1
- Interpretable Safety Validation for Autonomous Vehicles2020/4/1
- Structured Mechanical Models for Robot Learning and Control2020/4/1
- The Adaptive Stress Testing Formulation2020/4/1
- Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing2020/3/1
- Efficient Large-Scale Multi-Drone Delivery Using Transit Networks2019/9/1
- Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation2019/8/1
- Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic2019/6/1
- Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving2019/5/1
- Pedestrian Collision Avoidance System for Scenarios with Occlusions2019/4/1
- Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning2019/4/1
- Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving2019/4/1
- Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments2019/4/1
- Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning2019/3/1
- Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning2019/2/1
- A General Framework for Structured Learning of Mechanical Systems2019/2/1
- Adaptive Stress Testing for Autonomous Vehicles2019/2/1
- Real-time Prediction of Automotive Collision Risk from Monocular Video2019/2/1
- HG-DAgger: Interactive Imitation Learning with Human Experts2018/10/1
- Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction2018/10/1
- Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning2018/10/1
- Using Neural Networks to Generate Information Maps for Mobile Sensors2018/9/1
- On the Optimality of Ergodic Trajectories for Information Gathering Tasks2018/8/1
- Efficient and Low-cost Localization of Radio Signals with a Multirotor UAV2018/8/1
- People as Sensors: Imputing Maps from Human Actions2017/11/1
- DropoutDAgger: A Bayesian Approach to Safe Imitation Learning2017/9/1
- Belief State Planning for Autonomously Navigating Urban Intersections2017/4/1
- Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report)2016/2/1