Multi-Agent Frameworks for Space Applications

Ocón, Jorge; Rivero, E.; Montero, A. Sanchez

doi:10.2514/6.2010-2069

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…Modeling autonomous systems as Multiagent Systems (MAS) is a common trend in many industrial and academic works (including aerospace systems and satellite missions) and is applied when problems are either too large or when the information sources are spatially distributed. MAS frameworks can provide performance improvements to the system and allow complex functions …”

Section: Autonomymentioning

confidence: 99%

“…A recent study for the European Space Agency has explored and validated the benefits of MAS technologies in the context of Earth Observation constellations. The Distributed Agents for Autonomy study (DAFA) demonstrated how MAS‐oriented frameworks can improve several system qualities and presented negotiation‐based self‐organizing mechanisms as means to improve the autonomous capabilities of a system.…”

Section: Mission Planning Systemsmentioning

confidence: 99%

“…MAS frameworks can provide performance improvements to the system and allow complex functions. 49,50 In line with this, works in artificial intelligence have studied and implemented bioinspired MAS in which the entities present complex collective behaviours (e.g., self-organization) but where none of the entities was explicitly programmed or designed for such purpose. 51 Certainly, among all species of the animal kingdom, the behaviors of some insect families have fruitfully given birth to many works in the areas of swarm intelligence and collective organization.…”

Section: Designing Autonomous Systemsmentioning

confidence: 99%

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Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Araguz

Bou-Balust

Alarcón

2018

Systems Engineering

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While monolithic satellite missions still pose significant advantages in terms of accuracy and operations, novel distributed architectures are promising improved flexibility, responsiveness and adaptability to structural and functional changes. Large satellite swarms, opportunistic satellite networks or heterogeneous constellations hybridizing small-spacecraft nodes with high-performance satellites are becoming feasible and advantageous alternatives requiring the adoption of new operation paradigms that enhance their autonomy. While autonomy is a notion that is gaining acceptance in monolithic satellite missions, it can also be deemed an integral characteristic in Distributed Satellite Systems. In this context, this paper focuses on the motivations for system-level autonomy in DSS and justifies its need as an enabler of system qualities.Autonomy is also presented as a necessary feature to bring new distributed Earth observation functions (which require coordination and collaboration mechanisms) and to allow for novel structural functions (e.g. opportunistic coalitions, exchange of resources or in-orbit data services).Mission Planning and Scheduling frameworks (MPS) are then presented as a key component to * Corresponding author. E-mail addresses: {carles.araguz, elisenda.bou, eduard.alarcon}@upc.edu 1 implement autonomous operations in satellite missions. An exhaustive knowledge classification explores the design aspects of MPS for DSS, and conceptually groups them into: components and organizational paradigms; problem modeling and representation; optimization techniques and metaheuristics; execution and runtime characteristics; and the notions of tasks, resources and constraints. This paper concludes by proposing future strands of work devoted to study the tradeoffs of autonomy in large-scale, highly dynamic and heterogeneous networks through frameworks that consider some of the limitations of small spacecraft technologies.

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Section: Autonomymentioning

confidence: 99%

Section: Mission Planning Systemsmentioning

confidence: 99%

Section: Designing Autonomous Systemsmentioning

confidence: 99%

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Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Araguz

Bou-Balust

Alarcón

2018

Systems Engineering

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“…The DAFA study [6] is one of the first attempts in this direction, developing a system based on negotiation paradigm and deliberative agents. The main limitation of this approach is in the lack of scalability and adaptability.…”

Section: Introductionmentioning

confidence: 99%

EO constellation MPS based on ant colony optimization algorithms

Iacopino

Palmer

Brewer

et al. 2013

2013 6th International Conference on Recent Advances in Space Technologies (RAST)

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Missions involving multiple spacecraft can offer a number of benefits over single platforms. Earth Observation (EO) constellations have the potential to offer critical services for the society such as global monitoring and disaster management. This trend is opening new challenges to the automated Mission Planning & Scheduling (MPS) systems aiming at gaining maximum value from the constellations, by increasing the overall efficiency and the system responsiveness.In this paper, we describe an innovative ground-based automated planning & scheduling system for multiple platforms. The mission used as target for our design is the Disaster Monitoring Constellation, the first Earth Observation constellation of low cost small satellites. The novelty of this project is in designing an MPS as self-organizing multi agent architecture, inspired by Ant Colony Optimization algorithms, offering a system adaptable to the problem changes and able to synchronize the satellites' plans in order to avoid duplications.

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“…Moreover, the solution envisaged needs to be highly responsive to the requests coming from the user community. The demonstrator of the DAFA study 23 aims at addressing these issues with a multi agent architecture based on negotiation paradigm and deliberative agents. The main drawback however is still in the lack of scalability and flexibility.…”

Section: • Earth Observation Constellationsmentioning

confidence: 99%

Highly Responsive MPS for Dynamic EO Scenarios

Iacopino¹

2012

SpaceOps 2012 Conference

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Distributed missions have become of great interest in the last decade as they offer a number of potential benefits for Earth Observation, especially global monitoring and disaster management. the first examples of this increasing demand are the Global Monitoring for Environment and Security -GMES or the Disaster Monitoring constellation. The increasing trend in the use of multiple platforms is opening new challenges in terms of coordination and high responsiveness principally in critical scenarios. In particular, a new concept of mission planning has been identified in order to operate such constellations of spacecraft and provide a greater level of responsiveness.In this paper, we describe an innovative ground-based automated planning & scheduling system for multiple platforms, specifically for the Disaster Monitoring Constellation. First, we show how the system can be applied to a single platform case study designed for a highly dynamic environment. The system will be required to respond appropriately to different priority levels and the needs of different user groups. Finally an outline will be given regarding the systems extension to the whole Disaster Monitoring constellation in order to show the coordination benefits of our solution.The novelty of this project is applying a natural-inspired paradigm, such as stigmergy, to coordinate a platform and compute the solution. More specifically, a novel algorithm designed for dynamic planning is applied. It offers a high-level of adaptability and responsiveness allowing the system to find near-optimum solutions on a global level thanks to the collaboration of all the agents interacting and modifying the environment. This approach is based on ant colony algorithms and aims at extending mission planning applications to face real constellation scenarios.

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Multi-Agent Frameworks for Space Applications

Cited by 10 publications

References 5 publications

Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

EO constellation MPS based on ant colony optimization algorithms

Highly Responsive MPS for Dynamic EO Scenarios

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