14 citations · 19 across the 5 of their papers we have counts for
5 papers
VISTA: Open-Vocabulary, Task-Relevant Robot Exploration with Online Semantic Gaussian Splatting
Keiko Nagami, Timothy Chen, Javier Yu +5
We present VISTA (Viewpoint-based Image selection with Semantic Task Awareness), an active exploration method for robots to plan informative trajectories that improve 3D map qualit…
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum
JunEn Low, Maximilian Adang, Javier Yu +2
We propose a new simulator, training approach, and policy architecture, collectively called SOUS VIDE, for end-to-end visual drone navigation. Our trained policies exhibit zero-sho…
Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps
Timothy Chen, Ola Shorinwa, Joseph Bruno +6
We present Splat-Nav, a real-time robot navigation pipeline for Gaussian Splatting (GSplat) scenes, a powerful new 3D scene representation. Splat-Nav consists of two components: 1)…
NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics
Javier Yu, Jun En Low, Keiko Nagami +1
This work was presented at the IEEE International Conference on Robotics and Automation 2023 Workshop on Unconventional Spatial Representations. Neural radiance fields (NeRFs) are…
AirSim Drone Racing Lab
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala +7
Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control. We introduce AirSim Drone Racing Lab, a s…