5 citations · 9 across the 6 of their papers we have counts for
6 papers
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-…
The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations
Bryce Doerr, Keenan Albee, Monica Ekal +2
On-orbit close proximity operations involve robotic spacecraft maneuvering and making decisions for a growing number of mission scenarios demanding autonomy, including on-orbit ass…
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…
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…
Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
Bryce Doerr, Keenan Albee, Monica Ekal +2
As access to space and robotic autonomy capabilities move forward, there is simultaneously a growing interest in deploying large, complex space structures to provide new on-orbit c…
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain
Keenan Albee, Monica Ekal, Rodrigo Ventura +1
Robotic systems often operate with uncertainties in their dynamics, for example, unknown inertial properties. Broadly, there are two approaches for controlling uncertain systems: d…