2 citations · 3 across the 8 of their papers we have counts for
8 papers
EVPeriscope: Extended Perception across Aerial and Ground Vehicles with Event-based Propeller Tracking
Dexter Ong, Vijay Kumar, Pratik Chaudhari
Reliable relative localization between aerial and ground robots is a key requirement for tightly coordinated heterogeneous teams. This can be difficult to do using conventional fra…
STAR-Filter: Efficient Convex Free-Space Approximation via Starshaped Set Filtering in Noisy Environments
Yuwei Wu, Yichen Zhao, Dexter Ong +1
Approximating collision-free space is fundamental to robot planning in complex environments. Convex geometric representations, such as polytopes and ellipsoids, are widely employed…
HALO: High-Altitude Language-Conditioned Monocular Aerial Exploration and Navigation
Yuezhan Tao, Dexter Ong, Fernando Cladera +4
We demonstrate real-time high-altitude aerial metric-semantic mapping and exploration using a monocular camera paired with a global positioning system (GPS) and an inertial measure…
Gaussian Splatting as a Unified Representation for Autonomy in Unstructured Environments
Dexter Ong, Yuezhan Tao, Varun Murali +3
In this work, we argue that Gaussian splatting is a suitable unified representation for autonomous robot navigation in large-scale unstructured outdoor environments. Such environme…
Estimating the Diameter at Breast Height of Trees in a Forest from RGB
Siming He, Zachary Osman, Fernando Cladera +5
Forest inventories rely on accurate measurements of the diameter at breast height (DBH) for ecological monitoring, resource management, and carbon accounting. While LiDAR-based tec…
ATLAS Navigator: Active Task-driven LAnguage-embedded Gaussian Splatting
Dexter Ong, Yuezhan Tao, Varun Murali +3
We address the challenge of task-oriented navigation in unstructured and unknown environments, where robots must incrementally build and reason on informative metric-semantic maps…
RT-GuIDE: Real-Time Gaussian Splatting for Information-Driven Exploration
Yuezhan Tao, Dexter Ong, Varun Murali +3
We propose a framework for active mapping and exploration that leverages Gaussian splatting for constructing dense maps. Further, we develop a GPU-accelerated motion planning algor…
Active Perception using Neural Radiance Fields
Siming He, Christopher D. Hsu, Dexter Ong +2
We study active perception from first principles to argue that an autonomous agent performing active perception should maximize the mutual information that past observations posses…