Casper: space exploration through continuous planning

Knight, Sara J.; Rabideau, Gregg; Chien, Steve; Engelhardt, Barbara E.; Sherwood, Rob

doi:10.1109/mis.2001.956084

Cited by 44 publications

(32 citation statements)

References 6 publications

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“…This traditional planning model is effectively a batch formulation of the problem [32]. When addressing an ongoing planning problem, time is divided into a number of planning horizons, each lasting a significant period of time.…”

Section: Continuous Planningmentioning

confidence: 99%

Continuous software engineering and beyond: trends and challenges

Fitzgerald

Stol

2014

Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering

146

113

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Throughout its short history, software development has been characterized by harmful disconnects between important activities e.g., planning, development and implementation. The problem is further exacerbated by the episodic and infrequent performance of activities such as planning, testing, integration and releases. Several emerging phenomena reflect attempts to address these problems. For example, the Enterprise Agile concept has emerged as a recognition that the benefits of agile software development will be suboptimal if not complemented by an agile approach in related organizational function such as finance and HR. Continuous integration is a practice which has emerged to eliminate discontinuities between development and deployment. In a similar vein, the recent emphasis on DevOps recognizes that the integration between software development and its operational deployment needs to be a continuous one. We argue a similar continuity is required between business strategy and development, BizDev being the term we coin for this. These disconnects are even more problematic given the need for reliability and resilience in the complex and data-intensive systems being developed today. Drawing on the lean concept of flow, we identify a number of continuous activities which are important for software development in today's context. These activities include continuous planning, continuous integration, continuous deployment, continuous delivery, continuous verification, continuous testing, continuous compliance,continuous security, continuous use, continuous trust, continuous run-time monitoring, continuous improvement (both process and product), all underpinned by continuous innovation. We use the umbrella term, "Continuous *" (continuous star) to identify this family of continuous activities.

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Section: Continuous Planningmentioning

confidence: 99%

Continuous software engineering and beyond: trends and challenges

Fitzgerald

Stol

2014

Proceedings of the 1st International Workshop on Rapid Continuous Software Engineering

146

113

View full text Add to dashboard Cite

show abstract

“…causal planning, temporal reasoning, scheduling) but very few approaches entail the possibility to reason about several facets of the same problem at the same time or to handle dynamic goals. For instance, a considerable amount of work has been done to integrate metric time into planning [42][43][44][45][46][47]. Including time has allowed some planning systems to perform continuous planning, i.e., continuously synthesize plans as new goals and contingencies become known.…”

Section: Planningmentioning

confidence: 99%

Robotic Ubiquitous Cognitive Ecology for Smart Homes

Amato

Bacciu

Broxvall

et al. 2015

J Intell Robot Syst

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Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them both autonomous and adaptive, so as to reduce the amount of preparation, pre-programming and human supervision that they require in real world applications. The project RUBICON develops learning solutions which yield cheaper, adaptive and efficient coordination of robotic ecologies. The approach we pursue builds upon a unique combination of methods from cognitive robotics, machine learning, planning and agentbased control, and wireless sensor networks. This paper illustrates the innovations advanced by RUBICON in each of these fronts before describing how the resulting techniques have been integrated and applied to a smart home scenario. The resulting system is able to provide useful services and pro-actively assist the users in their activities. RUBICON learns through an incremental and progressive approach driven by the feedback received from its own activities and from the user, while also self-organizing the manner in which it uses available sensors, actuators and other functional components in the process. This paper summarises some of the lessons learned by adopting such an approach and outlines promising directions for future work.

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“…27 Clear advantages, as reducing operational costs and increasing the efficiency, are pushing the planning & scheduling activity on board of the spacecraft. Promising results have been achieved by NASA DS-1, 22 NASA EO-1 with the re-planning system CASPER 17 or the more recent ESA demonstrator mission Proba-2. 21 However, this paradigm alone is not suitable for the new trend of distributed missions as the single spacecraft are not able to deal with the whole system.…”

Section: Introductionmentioning

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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Casper: space exploration through continuous planning

Cited by 44 publications

References 6 publications

Continuous software engineering and beyond: trends and challenges

Continuous software engineering and beyond: trends and challenges

Robotic Ubiquitous Cognitive Ecology for Smart Homes

Highly Responsive MPS for Dynamic EO Scenarios

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