activity
20212026
most citedMulti-Agent 3D Map Reconstruction and Change Detection in Microgravity with Free-Flying Robots

5 citations · 7 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

In-Situ Reconstruction of the International Space Station Using 3D Gaussian Splatting and Astrobee

Hudson Kim, Ryan Soussan, Brian Coltin +1

This article presents a novel 3D reconstruction and mapping of the interior of the International Space Station (ISS) using 3D Gaussian Splatting (3DGS). Using existing grayscale im…

cs.RO2025

KnotDLO: Toward Interpretable Knot Tying

Holly Dinkel, Raghavendra Navaratna, Jingyi Xiang +3

This work presents KnotDLO, a method for one-handed Deformable Linear Object (DLO) knot tying that is robust to occlusion, repeatable for varying rope initial configurations, inter…

cs.CV2025

DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting

Holly Dinkel, Marcel Büsching, Alberta Longhini +5

This work presents DLO-Splatting, an algorithm for estimating the 3D shape of Deformable Linear Objects (DLOs) from multi-view RGB images and gripper state information through pred…

cs.RO2024

Semantic Masking and Visual Feature Matching for Robust Localization

Luisa Mao, Ryan Soussan, Brian Coltin +2

We are interested in long-term deployments of autonomous robots to aid astronauts with maintenance and monitoring operations in settings such as the International Space Station. Un…

cs.RO2023★ 2 cited

Unsupervised Change Detection for Space Habitats Using 3D Point Clouds

Jamie Santos, Holly Dinkel, Julia Di +5

This work presents an algorithm for scene change detection from point clouds to enable autonomous robotic caretaking in future space habitats. Autonomous robotic systems will help…

cs.RO2023★ 5 cited

Multi-Agent 3D Map Reconstruction and Change Detection in Microgravity with Free-Flying Robots

Holly Dinkel, Julia Di, Jamie Santos +6

Assistive free-flyer robots autonomously caring for future crewed outposts -- such as NASA's Astrobee robots on the International Space Station (ISS) -- must be able to detect day-…

cs.RO2023

An Investigation of Multi-feature Extraction and Super-resolution with Fast Microphone Arrays

Eric T. Chang, Runsheng Wang, Peter Ballentine +5

In this work, we use MEMS microphones as vibration sensors to simultaneously classify texture and estimate contact position and velocity. Vibration sensors are an important facet o…

cs.RO2023

LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation

Shreyansh Daftry, Zhanlin Chen, Yang Cheng +7

The Artemis program requires robotic and crewed lunar rovers for resource prospecting and exploitation, construction and maintenance of facilities, and human exploration. These rov…

cs.RO2022

The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement with On-Orbit Validation

Keenan Albee, Monica Ekal, Brian Coltin +3

Certain forms of uncertainty that robotic systems encounter can be explicitly learned within the context of a known model, like parametric model uncertainties such as mass and mome…

cs.RO2021

Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers

Monica Ekal, Keenan Albee, Brian Coltin +3

Space free-flyers like the Astrobee robots currently operating aboard the International Space Station must operate with inherent system uncertainties. Parametric uncertainties like…