Shuran Song
Associate Professor
Develops robot learning and perception for manipulation, including data collection systems for policies.
Shuran Song's lab at Stanford works on manipulation & robot learning and robot perception & SLAM. 43 papers since 2023, 43 at top venues, mostly CoRL and RSS. 10 PhD students and 4 master's students. 35 alumni, most often to Anthropic and Sunday Robotics. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 100%
- PhD students
- 10
- MS students
- 4
- alumni listed
- 35
Papers by yearfrom the lab homepage, 2023–2026
- 17 papers2026 · T1 17 · collecting
- 13 papers2025 · T1 13
- 4 papers2024 · T1 4
- 9 papers2023 · T1 9
T1 venuesOtherVenues: CoRL, RSS, ICRA, NeurIPS, ICML
Research focuspaper titles that use each topic's words
- Manipulation & robot learning30 papers
- Robot perception & SLAM15 papers
- policies5 papers
- robot learning2 papers
- develops robot0 papers
Paper list
From the lab homepage.
202617 papers
- ICML (T1)DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation (opens in a new tab)
- ICML (T1)DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning (opens in a new tab)
- RSS (T1)EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World (opens in a new tab)
- ICML (T1)From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning (opens in a new tab)
- CoRL (T1)Gated Memory Policy: In-Context Memorization and Adaptation (opens in a new tab)
- ICLR (T1)Geometry-aware 4D Video Generation for Robot Manipulation (opens in a new tab)
- RSS (T1)HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations (opens in a new tab)
- ICRA (T1)In-the-Wild Compliant Manipulation with UMI-FT (opens in a new tab)
- CoRL (T1)Memory Anchors for Continual Robot Learning (opens in a new tab)
- RSS (T1)Minimalist Compliance Control (opens in a new tab)
- CoRL (T1)Mixture of Frames Policy: Multi-Frame Action Denoising for Bimanual Mobile Manipulation (opens in a new tab)
- CoRL (T1)Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force (opens in a new tab)
202513 papers
- ICRA (T1)Adaptive Compliance Policy: Learning Approximate Compliance for Diffusion Guided Control (opens in a new tab)
- NeurIPS (T1)Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections (opens in a new tab)
- NeurIPS (T1)DynaGuide: Steering Diffusion Policies with Active Dynamic Guidance (opens in a new tab)
- ICRA (T1)GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization (opens in a new tab)
- NeurIPS (T1)Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution (opens in a new tab)
- CoRL (T1)One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies (opens in a new tab)
- ICLR (T1)Real2Code: Reconstruct Articulated Objects via Code Generation (opens in a new tab)
- RSS (T1)RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity (opens in a new tab)
- CoRL (T1)Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids (opens in a new tab)
- ICRA (T1)Self-Improving Autonomous Underwater Manipulation (opens in a new tab)
- CoRL (T1)ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation (opens in a new tab)
- RSS (T1)Unified Video Action Model (opens in a new tab)
20244 papers
- IROS (T1)ContactHandover: Contact-Guided Robot-to-Human Object Handover (opens in a new tab)
- ECCV (T1)DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects (opens in a new tab)
- RSS (T1)DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset (opens in a new tab)
- RSS (T1)Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots (opens in a new tab)
20239 papers
- NeurIPS (T1)DataComp: In search of the next generation of multimodal datasets (opens in a new tab)
- RSS (T1)Diffusion Policy: Visuomotor Policy Learning via Action Diffusion (opens in a new tab)
- CoRL (T1)Rearrangement Planning for General Part Assembly (opens in a new tab)
- CoRL (T1)REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction (opens in a new tab)
- RSS (T1)RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects (opens in a new tab)
- CoRL (T1)Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition (opens in a new tab)
- IROS (T1)Structure From Action: Learning Interactions for Articulated Object 3D Structure Discovery (opens in a new tab)
- IROS (T1)TidyBot: Personalized Robot Assistance with Large Language Models (opens in a new tab)
- CoRL (T1)XSkill: Cross Embodiment Skill Discovery (opens in a new tab)
Where alumni went35 listed, 82% to industry
Industry 9Academia 2
Most often to
- Anthropic
- Sunday Robotics
- Genesis AI
Also to
- University of Macau
- UT Austin
Apply to StanfordFall 2027
Stanford Computer Science PhD
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- Opens
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- English
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Confirmed on the program page.
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