Ingmar Posner
Professor of Applied Artificial Intelligence
Leads the Applied AI Lab on machine learning for robots that improve through experience, including generative models for robot perception and action.
Ingmar Posner's lab at Oxford works on manipulation & robot learning, robot perception & SLAM and generative & foundation models. 28 papers since 2023, 12 at top venues, mostly RA-L and ICRA. 23 alumni, most often to Google DeepMind and Meta. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 43%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 3
- 10 papers2024 · T1 4
- 10 papers2023 · T1 5
T1 venuesOtherVenues: RA-L, ICRA, CoRL, NeurIPS, T-RO
Research focuspaper titles that use each topic's words
- Manipulation & robot learning8 papers
- Generative & foundation models7 papers
- Robot perception & SLAM2 papers
- action1 paper
- experience0 papers
Paper list
From the lab homepage.
20261 paper
- Proceedings of Machine Learning ResearchDisentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
20257 papers
- RA-LAn End-to-End Framework for Modeling Pneumatic Soft Robots Based on Differentiable Finite Element Methods (opens in a new tab)
- HRI (T1)Group decision-making in robot teleoperation: two heads are better than one (opens in a new tab)
- RASLUMOS: language-conditioned imitation learning with world models (opens in a new tab)
- ICRA (T1)Offline Adaptation of Quadruped Locomotion Using Diffusion Models (opens in a new tab)
- NeurIPS (T1)SPARTAN: A Sparse Transformer World Model Attending to What Matters (opens in a new tab)
- Physica D Nonlinear PhenomenaThe Complexity Dynamics of Grokking (opens in a new tab)
- IEEE AccessVision-Language-Action Models for Robotics: A Review Towards Real-World Applications (opens in a new tab)
202410 papers
- IEEE AccessA Review of Differentiable Simulators (opens in a new tab)
- RA-LDreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer (opens in a new tab)
- L4DCEfficient skill acquisition for insertion tasks in obstructed environments
- Proceedings of Machine Learning ResearchGaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion
- NeurIPS (T1)Neural latent geometry search: product manifold inference via Gromov-Hausdorff-informed Bayesian optimization (opens in a new tab)
- Scientific ReportsOscillating latent dynamics in robot systems during walking and reaching (opens in a new tab)
- International Conference on Learning Representations IclrREWARD-FREE CURRICULA FOR TRAINING ROBUST WORLD MODELS
- T-RO (T1)TactGen: tactile sensory data generation via zero-shot sim-to-real transfer (opens in a new tab)
- ICRA (T1)TWIST: Teacher-Student World Model Distillation for Sim-to-Real Transfer (opens in a new tab)
- TMLR (T1)World models via policy-guided trajectory diffusion
202310 papers
- RA-LAutoGraph: predicting lane graphs from traffic observations (opens in a new tab)
- Conference on Cognitive Computational NeuroscienceFrom Primates to Robots: Emerging Oscillatory Latent-Space Dynamics for Sensorimotor Control (opens in a new tab)
- ICRA (T1)Leveraging scene embeddings for gradient-based motion planning in latent space (opens in a new tab)
- International Conference on Learning Representations IclrPRIORS, HIERARCHY, AND INFORMATION ASYMMETRY FOR SKILL TRANSFER IN REINFORCEMENT LEARNING
- ICLR WorkshopProjections of model spaces for latent graph inference
- RA-LRAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning (opens in a new tab)
- CoRL (T1)Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation
- T-RO (T1)VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation (opens in a new tab)
- TMLR (T1)Variational Causal Dynamics: Discovering Modular World Models from Interventions
- CoRL (T1)You only look at one: category-level object representations for pose estimation from a single example
Where alumni went23 listed, 100% to industry
Industry 15Academia 0
Most often to
- Google DeepMind
- Meta
- Toyota Motor Corporation
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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