Andrew Davison
Professor of Robot Vision
Leads the Dyson Robotics Laboratory, researching real-time SLAM, scene understanding and spatial AI for home robotics.
Andrew Davison's lab at Imperial works on embodied & active vision, 3D vision & neural rendering and rendering & appearance. 17 papers since 2023, 4 at top venues, mostly CVPR and ICRA. 5 PhD students. 30 alumni, most often to Meta and Google. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 24%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 30
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 8 papers2024 · T1 1
- 4 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, ICRA, RA-L
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering5 papers
- Embodied & active vision1 paper
- Rendering & appearance1 paper
- robotics laboratory0 papers
- home0 papers
Paper list
From the lab homepage.
20263 papers
- CVPR20264D Primitive-Mâché: Glueing Primitives for Persistent 4D Scene Reconstruction
- ICRA2026A Distributed Gaussian Process Model for Multi-Robot Mapping
- CVPR2026KV-Tracker: Real-Time Pose Tracking with Transformers
20252 papers
- CVPR20254DTAM:Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
- 3DV2025U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments
20248 papers
- ICRA (T1)A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus
- ICRA2024Dream2Real: Zero-Shot 3D object Rearrangement with Vision-Language Models
- CCV2024Eric Dexheimer and Andrew J Davison. COMO: Compact Mapping and Odometry. E
- CVPR2024EscherNet: A Generative Model for Scalable View Synthesis
- ICRA2024Fit-NGP: Fitting Object Models to Neural Graphics Primitives
- CVPR2024Gaussian Splatting SLAM
- CVPR2024Rethinking Inductive Biases for Surface Normal Estimation
- CVPR2024SuperPrimitive: Scene Reconstruction at a Primitive Level
20234 papers
- ICRA (T1)iMODE: Real-Time Incremental Monocular Dense Mapping Using Neural Field
- CVPR (T1)Learning a Depth Covariance Function
- RA-LThe GBP Planner || Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation
- CVPR (T1)vMAP: Vectorised Object Mapping for Neural Field SLAM
Where alumni went30 listed, 78% to industry
Industry 14Academia 4
Most often to
- Meta
- NVIDIA
Also to
- Imperial College London
- now at the National University of Defense Technology
- now at the University of Cyprus
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
Similar labsnearest by research summary
- USUT Austin
Don Fussell
- Rendering & appearance
- GBUCL
Tobias Ritschel
- Rendering & appearance
- SGNTU
Alexei Sourin
- Geometry processing & modeling
- USMichigan
Jason Corso
- Embodied & active vision
- USCMU
Kris M. Kitani
- Video understanding
- CNPeking
Yongtao Wang
- Recognition, detection & segmentation
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Data
Some numbers could not be verified:
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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