-
At the intersection of perception, spatial reasoning, and decision-making, we are committed to advancing mobile robots toward human-level autonomy by developing algorithms and systems that can efficiently and robustly:
- Perceive and interpret various sensory inputs such as images, point clouds, and proprioceptive data.
- Integrate neural and symbolic memory representations to capture spatial common sense and semantic knowledge.
- Reason, plan, and act in real time to navigate, interact, and adapt within unstructured and dynamic environments.
SAIR Lab
Spatial AI & Robotics Lab
-
Verified
We've verified that the organization sair-lab controls the domain:
- sairlab.org
- 331 followers
- United States of America
- https://sairlab.org
- @sairlab_org
- @sairlab
- company/sairlab
- admin@sairlab.org
Pinned Loading
Repositories
Showing 10 of 35 repositories
- .github Public
sair-lab/.github’s past year of commit activity - iSeries Public
sair-lab/iSeries’s past year of commit activity - SeqACE Public
[RA-L 2025] Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
sair-lab/SeqACE’s past year of commit activity - PhysORD Public
[IROS 2024] PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
sair-lab/PhysORD’s past year of commit activity - SuperPC Public
[CVPR 2025] SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
sair-lab/SuperPC’s past year of commit activity - GroundSLAM Public
GroundSLAM: A Robust Visual SLAM System for Warehouse Robots Using Ground Textures
sair-lab/GroundSLAM’s past year of commit activity
Top languages
Loading...
Most used topics
Loading...