Decision Analysis For An Experimental Robot With Unreliable Sensors
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Robots And Productivity Technology. Pages 749-756.
Abstract
This paper reports on the continuing design of and experimentation with Jason, the Berkeley Robot. Progress has been made in various aspects of the hardware (including the chassis, communications controller, and onboard microprocessor) and software (including problem-solving programs and world models). A particular experiment, analogous to the classical "Monkey and Bananas" Problem, is described. A major feature of the reformulation of this problem is the use of Decision Analysis in coping with uncertainty. Based on the accumulated expected costs of executing the steps of various hypothetical plans, Jason can evaluate the relative merits of direct action versus prior information-gathering using potentially unreliable sensors.
@inproceedings{ijcai1975p119,
title = {Decision Analysis For An Experimental Robot With Unreliable Sensors},
author = {Coles, I.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {749--756},
year = {1975},
note = {Robots And Productivity Technology},
url = {https://ijcai.org/proceedings/1975/119},
}
TY - CPAPER TI - Decision Analysis For An Experimental Robot With Unreliable Sensors AU - Coles, I. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 749 EP - 756 UR - https://ijcai.org/proceedings/1975/119 ER -Copied
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