Team X modeling and experiments
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Man-robot interaction is the study of interactions between humans and robots. It is often referred as HRI by researchers. Human-robot interaction is a multidisciplinary field with contributions from human-computer interaction, artificial intelligence.
Advances in the area of Internet of Things (IoT) or Cyber-Physical Systems will have a significant impact on many areas of human activity and commercial/technological development. One application of importance to NASA is the need to make crews on deep space missions more independent from earth in both their routine activities and handling of unexpected events. IoT will allow increasingly intelligent systems to be aware of what humans are doing, what tools/resources they are using, and what help they might need in terms of procedure execution in tasks such as assembly, maintenance, repair, and perhaps even in more complex activities like medical interventions. This talk focuses on the convergence of research and technologies that will be needed to effect such intelligent systems based on IoT.
Machine intelligence is improving rapidly based on advances in big data analytics, deep learning algorithms, networked operations, and continuing exponential growth in computing power (Moores Law). This growth in the power and applicability of increasingly intelligent systems will change the roles humans, shifting them to tasks where adaptive problem solving, reasoning and decision-making is required. This talk will address the challenges involved in engineering autonomous systems that function effectively with humans in aeronautics domains.
Machine intelligence is improving rapidly based on advances in big data analytics, deep learning algorithms, networked operations, and continuing exponential growth in computing power (Moores Law). This growth in the power and applicability of increasingly intelligent systems will change the roles humans, shifting them to tasks where adaptive problem solving, reasoning and decision-making is required. This talk will address the challenges involved in engineering autonomous systems that function effectively with humans in aeronautics domains.
This presentation is a technical update for the NATO-STO HFM-247 working group. Our progress on four goals will be discussed. For Goal 1, a conceptual model of HAT is presented. HAT looks to make automation act as more of a teammate, by having it communicate with human operators in a more human, goal-directed, manner which provides transparency into the reasoning behind automated recommendations and actions. This, in turn, permits more trust in the automation when it is appropriate, and less when it is not, allowing a more targeted supervision of automated functions. For Goal 2, we wanted to test these concepts and principles. We present findings from a recent simulation and describe two in progress. Goal 3 was to develop pattern(s) of HAT solution(s). These were originally presented at HCII 2016 and are reviewed. Goal 4 is to develop a re-usable HAT software agent. This is an ongoing effort to be delivered October 2017.
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Using Open Source to build innovative programs, enable fully remote work & expose massive data for more effective use.
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We describe a strategy to determine the initial mirror spacing by quantitatively evaluating the shapes of the images formed by the telescope using the Infrared Array Camera and other science instruments. We show that this information can be used to predict the direction and magnitude of the secondary mirror move that will result in the telescope best focus. The tools used to evaluate focus position and optical quality of the in orbit CTA have been qualified during the BRUTUS test are here described.
The Cassini Program's challenge is to fly a large, complex mission with a reduced operations budget.
The future of space mission designing will be dramatically different from the past. Formerly, performance-driven paradigms emphasized data return with cost and schedule being secondary issues.
Launched on October 15, 1997, Cassini is on a 6.7 year cruise to Saturn, flying by Venus twice, the Earth, and finally Jupiter to gain enough energy to arrive at Saturn on July 1, 2004. At Saturn, Cassini's rich complement of 12 science instruments will spend four years taking observations of Saturn's rings, atmosphere, magnetosphere, icy satellites, and large moon, Titan.
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- Background - MPATH Ground Control Station (GCS) - Design Approach - Software Features - Initial Usability Results - Simulated Flight Activity - Real Flight Activity - Multi-Aircraft Control Flight Assessment - Design Recommendations