18 citations · 37 across the 8 of their papers we have counts for
8 papers
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…
MaRF: Representing Mars as Neural Radiance Fields
Lorenzo Giusti, Josue Garcia, Steven Cozine +3
The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras. The idea is to gener…
-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming
Thomas Claudet, Ryan Alimo, Edwin Goh +3
This paper introduces -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling problem…
AI Agents in Emergency Response Applications
Aryan Naim, Ryan Alimo, Jay Braun
Emergency personnel respond to various situations ranging from fire, medical, hazardous materials, industrial accidents, to natural disasters. Situations such as natural disasters…
Multi-Agent Motion Planning using Deep Learning for Space Applications
Kyongsik Yun, Changrak Choi, Ryan Alimo +5
State-of-the-art motion planners cannot scale to a large number of systems. Motion planning for multiple agents is an NP (non-deterministic polynomial-time) hard problem, so the co…
Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system
Dounia Lakhmiri, Ryan Alimo, Sebastien Le Digabel
The Mars Curiosity rover is frequently sending back engineering and science data that goes through a pipeline of systems before reaching its final destination at the mission operat…