Olawsky, D.; Krebsbach, K.; and Gini, M. 1993. An analysis of sensor-based task planning. Technical Report 93-94, Computer Science Department, University of Minnesota, Minneapolis (Minnesota). Home/Search Document Details and Download
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Gridworlds as Testbeds for Planning with Incomplete Information - Tovey, Koenig (2000) (4 citations) (Correct)
.... Koenig and Simmons developed a generalization of the Delayed Planning Architecture (Koenig Simmons 1998a) The Delayed Planning Architecture has been applied to a variety of planning problems with incomplete information, including the Bay Area Transit Problem (Hsu 1990) and the Tool Box Problem (Olawsky, Krebsbach, Gini 1993). In the context of gridworlds, it has been demonstrated experimentally by their authors on real robots and in simulation. We re implemented the Delayed Planning Architecture and performed experiments in gridworlds with random obstacles, averaged over 1000 runs with randomly selected start cells. ....
Olawsky, D.; Krebsbach, K.; and Gini, M. 1993. An analysis of sensor-based task planning. Technical Report 93-94, Computer Science Department, University of Minnesota, Minneapolis (Minnesota).
Effects of Uncertainty on Variable Autonomy in Maintenance.. - James Gunderson And (1999) (Correct)
....before a plan considered to have failed. The number of steps needed to achieve the goal is a critical variable when planning. There is evidence to suggest that as the uncertainty in the domain increases, the planning horizon (the number of goals the planner considers at any time) should decrease[OKG95] With this in mind, our preliminary investigations simulate constant sized plans. This will allow us to compare results across plans. 5 A B C D E F Storage Robot Gamma Fig. 1. Plan View of Simulated Environment, Instruments are labeled by letters A. F Since in our model the task sets can be ....
....that is commonly used in mobile robots. Perhaps an equivalent tell me three times approach should be routinely applied to sensing operations to reduce the sensitivity to sensor uncertainty (the issue of planning for sensing operations has been addressed by several different groups[DHW94] OKG95] Zil96] 7 5.2 Effect of the type of uncertainty on autonomy It is clear from Figure 2 that the effect of increasing uncertainty upon plan success rates varies significantly depending on the nature of the uncertainty. Plan 4 1 variable relationship 0 0.2 0.4 0.6 0.8 1 1.2 0 0.1 0.2 0.3 0.4 ....
D. Olawsky, K. Krebsbach, and M. Gini. An analysis of sensor-based task planning. Technical Report 95-51, University of Minnesota, Dept. of Comp. Sci., July 1995.
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