SpaceOps 2006 Conference 2006
DOI: 10.2514/6.2006-5977
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MMOPS: Assessing the Impact of On-Board Autonomy for Deep Space Robotic Missions

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Cited by 4 publications
(3 citation statements)
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“…No particular innovation is introduced with respect to standard motion planning such as the one analyzed in Refs. [7,67]. However, to prove the feasibility of the design, the focus should shift toward assessing the possible hopping trajectories and the system's control capabilities to follow them.…”
Section: −9mentioning
confidence: 99%
“…No particular innovation is introduced with respect to standard motion planning such as the one analyzed in Refs. [7,67]. However, to prove the feasibility of the design, the focus should shift toward assessing the possible hopping trajectories and the system's control capabilities to follow them.…”
Section: −9mentioning
confidence: 99%
“…In another ESA-sponsored activity, artificial intelligence (AI) planning and scheduling-based tactical replanning software called time line validation and control (TVCR) has been developed to support goalbased arbitration and time line replanning to support opportunistic science (Woods et al, 2006). Recent work at Aberystwyth University (AU) provided both the test environment or "Mars Yard" and a half-scale model of the ExoMars chassis E concept with a simple assembly representing a robotic arm.…”
Section: Objectivesmentioning
confidence: 99%
“…In the autonomous scientist's work, only the replanning functionality of TVCR is of significant interest: the other functions, including monitoring the execution of the time line, remain active but are not central to the focus of the research (Woods et al, 2006). To perform its replanning, TVCR reasons with a model of the activities that are available in the domain.…”
Section: Replanning Agentmentioning
confidence: 99%