Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
Autonomous robotics is driving Perseverance rover's progress on Mars
V Verma, MW Maimone, DM Gaines, R Francis… - Science Robotics, 2023 - science.org
NASA's Perseverance rover uses robotic autonomy to achieve its mission goals on Mars. Its
self-driving autonomous navigation system (AutoNav) has been used to evaluate 88% of the …
self-driving autonomous navigation system (AutoNav) has been used to evaluate 88% of the …
A case study in programming a quantum annealer for hard operational planning problems
We report on a case study in programming an early quantum annealer to attack optimization
problems related to operational planning. While a number of studies have looked at the …
problems related to operational planning. While a number of studies have looked at the …
Intelligent mission planning for autonomous distributed satellite systems
Abstract System autonomy plays a critical role in the success of next generation Distributed
Satellite Systems (DSS) mission architectures, enabling the inference of external and …
Satellite Systems (DSS) mission architectures, enabling the inference of external and …
Planning and execution with flexible timelines: a formal account
Planning for real world problems with explicit temporal constraints is a challenging problem.
Among several approaches, the use of flexible timelines in Planning and Scheduling has …
Among several approaches, the use of flexible timelines in Planning and Scheduling has …
Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects
While monolithic satellite missions still pose significant advantages in terms of accuracy and
operations, novel distributed architectures are promising improved flexibility …
operations, novel distributed architectures are promising improved flexibility …
[PDF][PDF] Mexec: An onboard integrated planning and execution approach for spacecraft commanding
M Troesch, F Mirza, K Hughes… - … Execution (IntEx)/Goal …, 2020 - hou.usra.edu
The prevalent form of spacecraft commanding is through the use of sequences. Sequences
generally define a sequence of commands to execute at absolute or relative times, but they …
generally define a sequence of commands to execute at absolute or relative times, but they …
Enabling astronaut self-scheduling using a robust advanced modelling and scheduling system: An assessment during a Mars analogue mission
M Saint-Guillain, J Vanderdonckt, N Burny… - Advances in Space …, 2023 - Elsevier
Human long duration exploration missions (LDEMs) raise a number of technological
challenges. This paper addresses the question of the crew autonomy: as the distances …
challenges. This paper addresses the question of the crew autonomy: as the distances …
Activity-based scheduling of science campaigns for the rosetta orbiter
SA Chien, G Rabideau, DQ Tran, M Troesch… - Journal of Aerospace …, 2021 - arc.aiaa.org
Rosetta was a European Space Agency (ESA) cornerstone mission that launched in March
2004, exited hibernation in January 2014, entered orbit around the comet 67P/Churyumov …
2004, exited hibernation in January 2014, entered orbit around the comet 67P/Churyumov …