Remote Agent: to boldly go where no AI system has gone before
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The Remote Agent is described, a specific autonomous agent architecture based on the principles of model-based programming, on-board deduction and search, and goal-directed closed-loop commanding, that takes a significant step toward enabling this future of space exploration.About:
This article is published in Artificial Intelligence.The article was published on 1998-08-01 and is currently open access. It has received 727 citations till now. The article focuses on the topics: Autonomous agent & Procedural reasoning system.read more
Citations
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Onboard Autonomy on the Intelligent Payload EXperiment (IPEX) Cubesat Mission: A pathfinder for the proposed HyspIRI Mission Intelligent Payload Module
Steve Chien,Joshua Doubleday,David R. Thompson,Kiri L. Wagstaff,John Bellardo,Craig Francis,Eric Baumgarten,Austin Williams,Edmund Yee,Daniel Fluitt,Eric J. Stanton,Jordi Piug-Suari +11 more
TL;DR: The Intelligent Payload Experiment (IPEX) is a cubesat that successfully launched in December 2013 and is currently flight validating autonomous operations for onboard instrument processing and product generation for the Intelligent payload Module (IPM) of the Hyperspectral Infra-red Imager (HyspIRI) mission concept as discussed by the authors.
Journal ArticleDOI
Advancing multi-vehicle deployments in oceanographic field experiments
Antonio Sergio Ferreira,Maria Costa,Frederic Py,Frederic Py,Jose Pinto,Mónica A. Silva,W. Alex M. Nimmo-Smith,Tor Arne Johansen,João Borges de Sousa,Kanna Rajan,Kanna Rajan +10 more
TL;DR: This work shows the use and operational value of a new Artificial Intelligence based mixed-initiative system for handling multiple platforms along with the networked infrastructure support needed to conduct such operations in the open sea.
Proceedings Article
Object transition sequences: a new form of abstraction for HTN planners
TL;DR: EMS as mentioned in this paper is an implemented HTN planning algorithm using a novel form of abstraction, where a plan is viewed as a set of dynamic objects taking part in sequences of transitions, and it builds up plans using an Expand then Make-Sound cycle.
Dissertation
Managing temporal uncertainty under limited communication : a formal model of tight and loose team coordination
TL;DR: In this article, the authors present three fundamental problems related to executing plans with uncertainty: determining if there exists a viable execution strategy (controllability verification), verifying the controllability of a plan, and generating an execution strategy.
Journal ArticleDOI
Learning to Automatically Detect Features for Mobile Robots Using Second-Order Hidden Markov Models
TL;DR: In this paper, a method based on Hidden Markov Models (HMM) is proposed to interpret temporal sequences of sensor data from mobile robots to automatically detect features, such as open doors or T-intersections.
References
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Journal Article
Maintaining knowledge about temporal intervals
TL;DR: An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between space and time.
Journal ArticleDOI
Maintaining knowledge about temporal intervals
TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Intelligence without Representation
TL;DR: Brooks et al. as mentioned in this paper decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Journal ArticleDOI
Intelligence without representation
TL;DR: Brooks et al. as discussed by the authors decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.