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pro vyhledávání: '"Susan L. Epstein"'
Autor:
Raj Korpan, Susan L. Epstein
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 31:663-672
Autonomous navigation in a large, complex space requires a spatial model, but the construction of a detailed map is costly. This paper demonstrates how two kinds of exploration support an alternative to metric mapping, one that facilitates robust hie
Autor:
Susan L. Epstein, Raj Korpan
Publikováno v:
Proceedings of Second International Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics.
Ideally, people who navigate together in a complex indoor space share a mental model that facilitates explanation. This paper reports on a robot control system whose cognitive world model is based on spatial affordances that generalize over its perce
Autor:
Ricardo Sanz, Hedda R. Schmidtke, Sang Wan Lee, Philip C. Jackson, Jeehang Lee, Othalia Larue, Jerald D. Kralik, Paul S. Rosenbloom, Susan L. Epstein, Keith McGreggor, Oscar J. Romero
Publikováno v:
BICA
This paper provides a starting point for the development of metacognition in a common model of cognition. It identifies significant theoretical work on metacognition from multiple disciplines that the authors believe worthy of consideration. After fi
Autor:
Susan L. Epstein
Publikováno v:
Artificial Intelligence. 221:36-45
Although the original vision for artificial intelligence was the simulation of (implicitly human) intelligence, research has gradually shifted to autonomous systems that compete with people. The resultant popular attitude toward artificial intelligen
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 6:928-942
With naturalistic dialogue management, a spoken dialogue system behaves as a human would under similar conditions. This paper reports on an experiment to develop naturalistic clarification strategies for noisy speech recognition in the context of spo
Publikováno v:
AI Matters. 1:6-8
Any research field is as healthy as the new talent that it is able to attract, and AI is no exception. For this reason, AI conferences hold mentoring events for doctoral students and researchers in the early stages of their careers to support their a
Autor:
Susan L. Epstein, Xingjian Li
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 60:91-117
The hybrid search algorithm for constraint satisfaction problems described here first uses local search to detect crucial substructures and then applies that knowledge to solve the problem. This paper shows the difficulties encountered by traditional
Autor:
Susan L. Epstein, Smiljana Petrovic
Publikováno v:
International Journal on Artificial Intelligence Tools. 17:501-520
Problem solvers, both human and machine, have at their disposal many heuristics that may support effective search. The efficacy of these heuristics, however, varies with the problem class, and their mutual interactions may not be well understood. The
Publikováno v:
Cognitive processing. 16
Optimal navigation for a simulated robot relies on a detailed map and explicit path planning, an approach problematic for real-world robots that are subject to noise and error. This paper reports on autonomous robots that rely on local spatial percep
Publikováno v:
Spatial Information Theory ISBN: 9783319233734
COSIT
COSIT
Typically, autonomous robot navigation relies on a detailed, accurate map. The associated representations, however, do not readily support human-friendly interaction. The approach reported here offers an alternative: navigation with a spatial model a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e388bd29e8f421a9180d5c9ed2702d04
https://doi.org/10.1007/978-3-319-23374-1_19
https://doi.org/10.1007/978-3-319-23374-1_19