Dongbin Zhao

収録論文 42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

• WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos
  2026/7/1
• VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation
  2026/7/1
• ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models
  2026/6/1
• X-DiffVLA: X-Embodied Diffusion Action Heads for Vision-Language-Action Models
  2026/5/1
• Posterior Optimization with Clipped Objective for Bridging Efficiency and Stability in Generative Policy Learning
  2026/4/1
• Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
  2026/3/1
• DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
  2026/3/1
• Learning from Mistakes: Post-Training for Driving VLA with Takeover Data
  2026/3/1
• PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning
  2026/3/1
• Dual-Granularity Contrastive Reward via Generated Episodic Guidance for Efficient Embodied RL
  2026/2/1
• WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
  2026/2/1
• LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
  2026/2/1
• Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
  2026/2/1
• InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation
  2026/2/1
• TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data
  2025/12/1
• Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
  2025/12/1
• DiffuDepGrasp: Diffusion-based Depth Noise Modeling Empowers Sim2Real Robotic Grasping
  2025/11/1
• QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models
  2025/10/1
• Empowering Multi-Robot Cooperation via Sequential World Models
  2025/9/1
• World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
  2025/9/1
• Survey of Vision-Language-Action Models for Embodied Manipulation
  2025/8/1
• CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment
  2025/7/1
• TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
  2025/5/1
• ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving
  2025/5/1
• UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
  2025/4/1
• ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
  2025/2/1
• FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
  2025/2/1
• Dream to Drive with Predictive Individual World Model
  2025/1/1
• Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
  2024/12/1
• PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning
  2024/6/1
• Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer
  2024/3/1
• RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks
  2023/11/1
• ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
  2023/9/1
• Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving
  2023/4/1
• NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
  2023/3/1
• NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning
  2023/2/1
• Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
  2022/10/1
• TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
  2022/3/1
• Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
  2022/2/1
• A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
  2021/9/1
• Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
  2020/7/1
• Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
  2019/4/1