AirLab showcases research at the White House Frontiers Conference

AirLab showcases research at the White House Frontiers Conference

Published: by

AirLab showcases research at the White House Frontiers Conference

Proud to showcase our latest research to Obama and the White House team at the White House Frontiers Conference.

Latest Research

Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera
Unified Spherical Frontend: Learning Rotation-Equivariant Representations of Spherical Images from Any Camera

A distortion-free lens-agnostic rotation-equivariant vision framework for modern perception

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models
RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models

RADSeg is a dense, language-aligned feature encoder that enables low-parameter, low-latency open-...

RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation
RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation

RAVEN is a 3D open-set memory-based behavior tree framework for aerial semantic outdoor navigatio...