Glen Chou
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
- Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control2026/7/1
- GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics2026/7/1
- Pixels to Proofs: Probabilistically-Safe Latent World Model Control via Parallel Conformal Robust MPC2026/6/1
- Safe, Real-Time Active Model Discrimination and Fault Diagnosis for Nonlinear Systems via Differentiable Reachability2026/6/1
- PolyMerge: Compressing 3D Gaussian Splats with Polytope Coverings for Provably Safe Resource-Constrained Navigation2026/6/1
- Robustness without Wrinkles: Parallel Simulation and Robust MPC for Certified Deformable Manipulation2026/6/1
- Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers2026/5/1
- Feedback Motion Planning for Stochastic Nonlinear Systems with Signal Temporal Logic Specifications2026/5/1
- Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU2026/4/1
- VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis2026/4/1
- Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis2026/2/1
- Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes2026/2/1
- Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees2026/1/1
- Active Constraint Learning in High Dimensions from Demonstrations2025/12/1
- MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization2025/11/25
- MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization2025/11/1
- Probabilistically-Safe Bipedal Navigation over Uncertain Terrain via Conformal Prediction and Contraction Analysis2025/10/1
- Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization2025/9/1
- NavMoE: Hybrid Model- and Learning-based Traversability Estimation for Local Navigation via Mixture of Experts2025/9/1
- A Convex Formulation of Compliant Contact between Filaments and Rigid Bodies2025/9/1
- Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds2024/3/1
- Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching2023/6/1
- Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization2023/4/1
- Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification2023/3/1
- Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems2022/12/1
- Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory2022/6/1
- Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations2021/12/1
- Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems2021/4/1
- Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations2020/11/1
- Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants2020/10/1
- Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations2020/6/1
- Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations2020/5/1
- Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty2020/1/1
- Learning Parametric Constraints in High Dimensions from Demonstrations2019/10/1
- Learning Constraints from Demonstrations2018/12/1