Jeannette Bohg
Associate Professor of Computer Science
Studies robotic manipulation and grasping that combines perception, learning and control.
Jeannette Bohg's lab at Stanford works on manipulation & robot learning and planning, control & multi-robot systems. 57 papers since 2023, 3 at top venues, mostly CoRL and ICML. 7 PhD students and 2 master's students. 77 alumni, most often to Apple and NVIDIA. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 5%
- PhD students
- 7
- MS students
- 2
- alumni listed
- 77
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 0 · collecting
- 15 papers2025 · T1 1
- 20 papers2024 · T1 0
- 12 papers2023 · T1 2
T1 venuesOtherVenues: CoRL, ICML, RA-L, T-RO
Research focuspaper titles that use each topic's words
- Manipulation & robot learning35 papers
- Planning, control & multi-robot systems17 papers
- grasping1 paper
- robotic manipulation0 papers
- studies robotic0 papers
Paper list
From the lab homepage.
202610 papers
- Conference on Robot Learning (CoRL)CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy (opens in a new tab)
- Conference on Robot Learning (CoRL)Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them (opens in a new tab)
- International Conference on Robotic Automation (ICRA)HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control (opens in a new tab)
- Proceedings of Robotics: Science and Systems (RSS)HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations (opens in a new tab)
- International Conference on Robotic Automation (ICRA)Masquerade: Learning from In-the-wild Human Videos using Data-Editing (opens in a new tab)
- Conference on Robot Learning (CoRL)MessyMem: Learning-from-Doing Memory for Mobile Manipulation (opens in a new tab)
- Conference on Robot Learning (CoRL)MessyNav: Zero-Shot Navigation via Manipulation in Messy Environments (opens in a new tab)
- Conference on Robot Learning (CoRL)Mixture of Frames Policy: Multi-Frame Action Denoising for Bimanual Mobile Manipulation (opens in a new tab)
- Conference on Robot Learning (CoRL)Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly? (opens in a new tab)
- Proceedings of Robotics: Science and Systems (RSS)SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation (opens in a new tab)
202515 papers
- International Conference on Intelligent Robots and Systems (IROS)ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation (opens in a new tab)
- ICML (T1)Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel (opens in a new tab)
- Conference on Robot Learning (CoRL)Constraint-Preserving Data Generation for One-Shot Visuomotor Policy Generalization (opens in a new tab)
- Conference on Robot Learning (CoRL)Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration (opens in a new tab)
- Conference on Robot Learning (CoRL)CUPID: Curating Data your Robot Loves with Influence Functions (opens in a new tab)
- IEEE Robotics and Automation Letters (RA-L) and HumanoidsDexForce: Extracting Force-informed Actions from Kinesthetic Demonstrations for Dexterous Manipulation (opens in a new tab)
- RA-LGentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning (opens in a new tab)
- Conference on Robot Learning (CoRL)Mobi-π: Mobilizing Your Robot Learning Policy (opens in a new tab)
- International Conference on Robotic Automation (ICRA)Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning (opens in a new tab)
- Conference on Robot Learning (CoRL)Phantom: Training Robots Without Robots Using Only Human Videos (opens in a new tab)
- International Conference on Robotic Automation (ICRA)Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics (opens in a new tab)
- Conference on Neural Information Processing Systems (NeurIPS)Scaffolding Dexterous Manipulation with Vision-Language Models (opens in a new tab)
202420 papers
- Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)AO-Grasp: Articulated Object Grasp Generation (opens in a new tab)
- Conference on Robot Learning (CoRL), NovemberAPRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)COAST: Constraints and Streams for Task and Motion Planning (opens in a new tab)
- Proceedings of Robotics: Science and Systems (RSS)Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation (opens in a new tab)
- IEEE Transactions on Haptics, MarchDevelopment and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering (opens in a new tab)
- International Symposium of Robotics Research (ISRR), DecemberDexMOTS : Dexterous Manipulation with Differentiable Simulation (opens in a new tab)
- Proceedings of Robotics: Science and Systems (RSS)DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (opens in a new tab)
- Conference on Robot Learning (CoRL), NovemberEquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation (opens in a new tab)
- Conference on Robot Learning (CoRL), NovemberGet a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer (opens in a new tab)
- Conference on Robot Learning (CoRL), NovemberNeural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)Open X-Embodiment: Robotic Learning Datasets and RT-X Models (opens in a new tab)
202312 papers
- Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), OctoberActive Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR)CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects (opens in a new tab)
- T-RO (T1)Deep Learning Approaches to Grasp Synthesis: a Review (opens in a new tab)
- Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), OctoberIn-Hand Manipulation with Tactile Sensing for Inserting Unknown Objects (opens in a new tab)
- CoRL (T1)KITE: Keypoints + Instructions To Execution Keypoint-Conditioned Policies for Semantic Manipulation (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation (opens in a new tab)
- OctoberShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)STAP: Sequencing Task-Agnostic Policies (opens in a new tab)
- Special Issue on Large Language Models in Robotics, Autonomous Robots, NovemberText2Motion: From Natural Language Instructions to Feasible Plans (opens in a new tab)
- Conference on Computer Vision and Pattern Recognition (CVPR)The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects (opens in a new tab)
- Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October . Extended version in Special Issue on Large Language Models in Robotics, Autonomous RobotsTidyBot: Personalized Robot Assistance with Large Language Models (opens in a new tab)
- IEEE International Conference on Robotics and Automation (ICRA)Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations (opens in a new tab)
Where alumni went77 listed, 45% to industry
Industry 15Academia 18
Most often to
- Apple
- NVIDIA
- Tesla
Also to
- MIT
- Carnegie Mellon University
- Stanford University
Apply to StanfordFall 2027
Stanford Computer Science PhD
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