activity
20192026
most citedAn Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments

10 citations · 10 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

11 papers · 1 filter

cs.RO2025

Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs

Jared Strader, Aaron Ray, Jacob Arkin +11

In this paper, we introduce a multi-robot system that integrates mapping, localization, and task and motion planning (TAMP) enabled by 3D scene graphs to execute complex instructio…

cs.RO202510 cited

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments

Ali Agha, Kyohei Otsu, Benjamin Morrell +86

This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…

cs.RO2024

Clio: Real-time Task-Driven Open-Set 3D Scene Graphs

Dominic Maggio, Yun Chang, Nathan Hughes +6

Modern tools for class-agnostic image segmentation (e.g., SegmentAnything) and open-set semantic understanding (e.g., CLIP) provide unprecedented opportunities for robot perception…

cs.RO2024

Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments

Lukas Schmid, Marcus Abate, Yun Chang +1

Perceiving and understanding highly dynamic and changing environments is a crucial capability for robot autonomy. While large strides have been made towards developing dynamic SLAM…

cs.RO2024

Kimera2: Robust and Accurate Metric-Semantic SLAM in the Real World

Marcus Abate, Yun Chang, Nathan Hughes +1

We present improvements to Kimera, an open-source metric-semantic visual-inertial SLAM library. In particular, we enhance Kimera-VIO, the visual-inertial odometry pipeline powering…

cs.RO2023

Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems

Nathan Hughes, Yun Chang, Siyi Hu +4

3D spatial perception is the problem of building and maintaining an actionable and persistent representation of the environment in real-time using sensor data and prior knowledge.…