1 citations · 2 across the 4 of their papers we have counts for
4 papers
Close-Proximity Satellite Operations through Deep Reinforcement Learning and Terrestrial Testing Environments
Henry Lei, Joshua Aurand, Zachary S. Lippay +1
With the increasingly congested and contested space environment, safe and effective satellite operation has become increasingly challenging. As a result, there is growing interest…
Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed
Henry Lei, Zachary S. Lippay, Anonto Zaman +3
The design and deployment of autonomous systems for space missions require robust solutions to navigate strict reliability constraints, extended operational duration, and communica…
Assessing Autonomous Inspection Regimes: Active Versus Passive Satellite Inspection
Joshua Aurand, Christopher Pang, Sina Mokhtar +3
This paper addresses the problem of satellite inspection, where one or more satellites (inspectors) are tasked with imaging or inspecting a resident space object (RSO) due to poten…
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning
Joshua Aurand, Steven Cutlip, Henry Lei +2
As space becomes more congested, on orbit inspection is an increasingly relevant activity whether to observe a defunct satellite for planning repairs or to de-orbit it. However, th…