Hao Dong
Associate Professor with Tenure
Researches embodied AI and intelligent robots, with deep generative models and computer vision for robot manipulation.
Hao Dong's lab at Peking works on manipulation & robot learning, robot perception & SLAM and generative & foundation models. 120 papers since 2023, 87 at top venues, mostly CVPR and ICRA. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 73%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 35 papers2026 · T1 24 · collecting
- 34 papers2025 · T1 26
- 27 papers2024 · T1 20
- 24 papers2023 · T1 17
T1 venuesOtherVenues: CVPR, ICRA, CoRL, ICLR, IROS
Research focuspaper titles that use each topic's words
- Manipulation & robot learning73 papers
- Generative & foundation models13 papers
- Robot perception & SLAM6 papers
- intelligent robots0 papers
- robot manipulation0 papers
Paper list
From the lab homepage.
202635 papers
- AAAI (T1)A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation (opens in a new tab)
- CVPR (T1)AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action Models (opens in a new tab)
- CVPR (T1)BiPreManip: Learning Affordance-Based Bimanual Pre-Manipulation through Anticipatory Collaboration (opens in a new tab)
- CoRL (T1)BiRoAD: Learning Shared and Role-Adaptive Representations for Bimanual Manipulation (opens in a new tab)
- IEEE International Conference on Acoustics, Speech and Signal ProcessingBoosting Contextual Adaptive Policy Learning with Foundation Model Guidance (opens in a new tab)
- AAAI (T1)CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model (opens in a new tab)
- Best Paper Award Finialist on ICRA Robot Manipulation and LocomotionDexora: Open-source VLA for High-DoF Bimanual Dexterity (opens in a new tab)
- UKRI AI & Robotics Research Awards Best Research PaperEfficient and Scalable Reinforcement Learning for Large-scale Network Control (opens in a new tab)
- IEEE International Conference on Acoustics, Speech and Signal ProcessingEfficient Online Peer Adaptation in Multi-Agent Competition and Cooperation via Vision Language Model (opens in a new tab)
- ACM MMEmbodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models (opens in a new tab)
- ACL (T1)FAMER: Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction (opens in a new tab)
- ICML (T1)FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects (opens in a new tab)
202534 papers
- CoRL (T1)3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation (opens in a new tab)
- ICRA (T1)3DTacDex: Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning (opens in a new tab)
- ICRA (T1)3DWG: 3D Weakly Supervised Visual Grounding via Category and Instance-Level Alignment (opens in a new tab)
- ACM Computing Surveys IF=23.8A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook (opens in a new tab)
- ICLR (T1)AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning (opens in a new tab)
- IROS (T1)Adaptac-Dex: Adaptive Visual-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation (opens in a new tab)
- ICCV (T1)AdaRPG: Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding (opens in a new tab)
- Distinguished Workshop Paper Award - IROS Workshop on Frontiers in Dynamic, Intelligent, and Adaptive Multi-arm ManipulationBiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly (opens in a new tab)
- Neural Information Processing SystemCADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes (opens in a new tab)
- CVPR (T1)CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation (opens in a new tab)
- CoRL (T1)ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes (opens in a new tab)
- RSS (T1)CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World (opens in a new tab)
202427 papers
- CoRL (T1)A3VLM: Actionable Articulation-Aware Vision Language Model (opens in a new tab)
- CoRL (T1)AIC-MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation (opens in a new tab)
- ICRA (T1)Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise (opens in a new tab)
- RSS (T1)Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters (opens in a new tab)
- ICRA (T1)Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions (opens in a new tab)
- CoRL (T1)InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment (opens in a new tab)
- Best Paper of National Science ReviewIntelligent Indoor Metasurface Robotics (opens in a new tab)
- ECCV (T1)Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection (opens in a new tab)
- RA-LLVDiffusor: Distilling Functional Rearrangement Priors from Large Models into Diffusor (opens in a new tab)
- CVPR (T1)ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation (opens in a new tab)
- IROS (T1)ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models (opens in a new tab)
- Neural Information Processing SystemMO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation (opens in a new tab)
202324 papers
- TPAMI (T1)Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation (opens in a new tab)
- ICCV (T1)DefoAfford: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation (opens in a new tab)
- ICLR (T1)DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation (opens in a new tab)
- NeurIPS (T1)Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation (opens in a new tab)
- NeurIPS (T1)GenPose: Generative Category-level Object Pose Estimation via Diffusion Models (opens in a new tab)
- CVPR (T1)GFPose: Learning Gradient Field for Multi-Hypothesis 3D Human Pose Estimation (opens in a new tab)
- NeurIPS (T1)GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping (opens in a new tab)
- RSS WorkshopLearning a Universal Human Prior for Dexterous Manipulation from Human Preference (opens in a new tab)
- NeurIPS (T1)Learning Environment-aware Affordance for 3D Articulated Object Manipulation under Occlusions (opens in a new tab)
- SIGGRAPH Asia (T1)Learning Gradient Fields for Scalable and Generalizable Irregular Packing (opens in a new tab)
- BMVCLearning Part Motion of Articulated Objects Using Spatially Continuous Neural Implicit Representations (opens in a new tab)
- RA-LLearning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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