Wei Zhan
University of California, Berkeley
収録論文 81本 ・ フィジカルAI/ロボット学習
マニピュレーション
※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
- AdaDexGrasp: 3D視覚触覚表現融合による適応的器用把持マニピュレーション2026/8/6
視覚と触覚を統合した表現を用いて、把持計画と接触後の適応的修正を行う器用なロボットハンドの把持フレームワークを提案し、シミュレーションと実環境で成功率と汎化性を向上させた。
- AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion2026/8/1
- TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale2026/7/1
- TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations2026/6/1
- T-Rex: Tactile-Reactive Dexterous Manipulation2026/6/1
- SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes2026/4/1
- LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving2026/4/1
- HetroD: A High-Fidelity Drone Dataset and Benchmark for Autonomous Driving in Heterogeneous Traffic2026/2/1
- SPACeR: Self-Play Anchoring with Centralized Reference Models2025/10/1
- R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation2025/6/1
- LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation2025/4/1
- Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems2025/3/1
- Physics-Aware Robotic Palletization with Online Masking Inference2025/2/1
- DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation2024/11/1
- Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning2024/10/1
- P2 Explore: Efficient Exploration in Unknown Cluttered Environment with Floor Plan Prediction2024/9/1
- Embodiment-Agnostic Action Planning via Object-Part Scene Flow2024/9/1
- DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation2024/9/1
- WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving2024/7/1
- Residual-MPPI: Online Policy Customization for Continuous Control2024/7/1
- Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning2024/7/1
- MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention2024/6/1
- NeRFs in Robotics: A Survey2024/5/1
- Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning2024/4/1
- Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach2024/3/1
- DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models2024/3/1
- BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay2024/2/1
- PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models2024/2/1
- SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries2024/1/1
- Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving2024/1/1
- LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving2023/10/1
- Long-Term Dynamic Window Approach for Kinodynamic Local Planning in Static and Crowd Environments2023/10/1
- Human-oriented Representation Learning for Robotic Manipulation2023/10/1
- RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow2023/10/1
- Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration2023/9/1
- Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing2023/5/1
- Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation2023/3/1
- Outracing Human Racers with Model-based Planning and Control for Time-trial Racing2022/11/1
- Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection2022/10/1
- Analyzing and Enhancing Closed-loop Stability in Reactive Simulation2022/8/1
- Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving2022/7/1
- SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera2022/7/1
- Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning2022/5/1
- Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction2022/4/1
- DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection2022/3/1
- Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction2022/3/1
- Transferable and Adaptable Driving Behavior Prediction2022/2/1
- Causal-based Time Series Domain Generalization for Vehicle Intention Prediction2021/12/1
- Dealing with the Unknown: Pessimistic Offline Reinforcement Learning2021/11/1
- Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction2021/11/1
- Iterative Imitation Policy Improvement for Interactive Autonomous Driving2021/9/1
- Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning2021/8/1
- Automatic Construction of Lane-level HD Maps for Urban Scenes2021/7/1
- Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models2021/6/1
- Diverse Critical Interaction Generation for Planning and Planner Evaluation2021/3/1
- You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module2021/3/1
- A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding2021/3/1
- Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data2021/1/1
- A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning2021/1/1
- Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection2020/12/1
- Prediction-Based Reachability for Collision Avoidance in Autonomous Driving2020/11/1
- IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data2020/11/1
- Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data2020/10/1
- Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles2020/6/1
- Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving2020/6/1
- Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction2020/4/1
- Inferring Spatial Uncertainty in Object Detection2020/3/1
- UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes2019/12/1
- Multiple criteria decision-making for lane-change model2019/10/1
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps2019/10/1
- Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving2019/8/1
- Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory2019/7/1
- Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling2019/5/1
- Behavior Planning of Autonomous Cars with Social Perception2019/5/1
- A Framework for Probabilistic Generic Traffic Scene Prediction2018/10/1
- Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning2018/9/1
- Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter2018/9/1
- Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios2018/9/1
- Courteous Autonomous Cars2018/8/1