Ding Zhao
収録論文 81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
- SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects2026/7/1
- IntentNav: Learning Spatial-Visual Object Navigation from Human Demonstrations2026/6/1
- ART-Glove: Articulated Tactile Glove for Contact-Grounded Dexterous Interaction Capture2026/6/1
- HiPi: Reproducible High-Fidelity Piezoresistive Sensors for Robotic Manipulation2026/6/1
- GaussianDream: A Feed-Forward 3D Gaussian World Model for Robotic Manipulation2026/5/1
- Learning Versatile Humanoid Manipulation with Touch Dreaming2026/4/1
- Interaction-Aware Whole-Body Control for Compliant Object Transport2026/3/1
- Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport2026/3/1
- HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization2026/3/1
- APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots2026/2/1
- LightTact: A Visual-Tactile Fingertip Sensor for Deformation-Independent Contact Sensing2025/12/1
- Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving2025/11/1
- Query-Centric Diffusion Policy for Generalizable Robotic Assembly2025/9/1
- Bipedalism for Quadrupedal Robots: Versatile Loco-Manipulation through Risk-Adaptive Reinforcement Learning2025/7/1
- Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining2025/6/1
- CrashAgent: Crash Scenario Generation via Multi-modal Reasoning2025/5/1
- LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing2025/5/1
- QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment2025/3/1
- Causal Composition Diffusion Model for Closed-loop Traffic Generation2024/12/1
- Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing2024/11/1
- DTactive: A Vision-Based Tactile Sensor with Active Surface2024/10/1
- Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications2024/10/1
- Agile Continuous Jumping in Discontinuous Terrains2024/9/1
- Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer2024/5/1
- Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly2024/4/1
- CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories2024/3/1
- Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands2024/3/1
- LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators2024/3/1
- Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving2023/11/1
- COMPOSER: Scalable and Robust Modular Policies for Snake Robots2023/10/1
- Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization2023/10/1
- TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models2023/10/1
- Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving2023/10/1
- Creative Robot Tool Use with Large Language Models2023/10/1
- Guardians as You Fall: Active Mode Transition for Safe Falling2023/10/1
- Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations2023/9/1
- What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery2023/6/1
- Datasets and Benchmarks for Offline Safe Reinforcement Learning2023/6/1
- Privacy Risks in Reinforcement Learning for Household Robots2023/6/1
- Embodied Executable Policy Learning with Language-based Scene Summarization2023/6/1
- Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models2023/5/1
- Hyper-Decision Transformer for Efficient Online Policy Adaptation2023/4/1
- GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning2023/3/1
- Constrained Decision Transformer for Offline Safe Reinforcement Learning2023/2/1
- Learning to View: Decision Transformers for Active Object Detection2023/1/1
- Robustness Certification of Visual Perception Models via Camera Motion Smoothing2022/10/1
- Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning2022/7/1
- SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles2022/6/1
- Prompting Decision Transformer for Few-Shot Policy Generalization2022/6/1
- On the Robustness of Safe Reinforcement Learning under Observational Perturbations2022/5/1
- Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling2022/4/1
- Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles2022/4/1
- A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective2022/2/1
- Constrained Variational Policy Optimization for Safe Reinforcement Learning2022/1/1
- Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving2021/5/1
- Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method2020/10/1
- Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation2020/9/1
- MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments2020/7/1
- Robust Unsupervised Learning of Temporal Dynamic Interactions2020/6/1
- Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes2020/6/1
- Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method2020/3/1
- Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process2019/10/1
- CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios2019/10/1
- Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression2019/10/1
- Active Learning for Risk-Sensitive Inverse Reinforcement Learning2019/9/1
- How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach2019/9/1
- A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos2019/7/1
- Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field2019/6/1
- Evaluation Uncertainty in Data-Driven Self-Driving Testing2019/4/1
- A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters2018/9/1
- Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach2018/9/1
- An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles2018/8/1
- Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories2018/7/1
- An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets2018/5/1
- An Optimal LiDAR Configuration Approach for Self-Driving Cars2018/5/1
- Learning and Inferring a Driver's Braking Action in Car-Following Scenarios2018/1/1
- A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods2017/10/1
- Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings2017/2/1
- Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models2017/1/1
- Enhancement of Low-cost GNSS Localization in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters2016/6/1
- Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques2016/5/1