Edward Schmerling
NVIDIA
収録論文 42本 ・ フィジカルAI/ロボット学習
能動学習/障害発見
※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
- ペアシステムを用いた障害発見のためのカバレッジ考慮型能動評価能動学習/障害発見2026/8/13
限られたテスト予算で実世界の障害を効率的に発見するため、プロキシシステムの情報を活用しつつ、実システムの評価結果と組み合わせて障害が起きそうなシナリオを適応的に選択する手法を提案した。
- X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation2026/6/1
- StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement2026/6/1
- Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation2025/6/1
- Realistic Extreme Behavior Generation for Improved AV Testing2024/9/1
- Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving2024/7/1
- Diagnostic Runtime Monitoring with Martingales2024/7/1
- Real-Time Anomaly Detection and Reactive Planning with Large Language Models2024/7/1
- ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics2024/6/1
- Closing the Loop on Runtime Monitors with Fallback-Safe MPC2023/9/1
- Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition2023/8/1
- Semantic Anomaly Detection with Large Language Models2023/5/1
- A System-Level View on Out-of-Distribution Data in Robotics2022/12/1
- Online Distribution Shift Detection via Recency Prediction2022/11/1
- Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission2022/10/1
- Learning Autonomous Vehicle Safety Concepts from Demonstrations2022/10/1
- Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots2022/9/1
- Motion Planning for a Climbing Robot with Stochastic Grasps2022/9/1
- Using Spectral Submanifolds for Nonlinear Periodic Control2022/9/1
- Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation2022/6/1
- Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems2022/5/1
- On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation2021/11/1
- Sample-Efficient Safety Assurances using Conformal Prediction2021/9/1
- Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts2021/7/1
- On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions2020/12/1
- Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach2020/8/1
- Learned Critical Probabilistic Roadmaps for Robotic Motion Planning2019/10/1
- Revisiting the Asymptotic Optimality of RRT$^*$2019/9/1
- On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions2018/12/1
- Generative Modeling of Multimodal Multi-Human Behavior2018/3/1
- Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction2017/10/1
- Perception-Aware Motion Planning via Multiobjective Search on GPUs2017/5/1
- Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs2017/5/1
- Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning2016/9/1
- Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs2016/7/1
- Decentralized Algorithms for 3D Symmetric Formations in Robotic Networks: a Contraction Theory Approach2015/11/1
- An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning2015/7/1
- A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots2015/6/1
- Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty2015/4/1
- Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics2014/5/1
- Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case2014/3/1
- Fast Marching Tree: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions2013/6/1