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» A factorisation model of robotic tasks
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CIMCA
2005
IEEE
14 years 1 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
CHI
2002
ACM
14 years 7 months ago
Mental models of robotic assistants
In the future, interactive robots will perform many helpful tasks. In 5 studies, we developed techniques for measuring the richness and content of people's mental models of a...
Sara B. Kiesler, Jennifer Goetz
IROS
2007
IEEE
113views Robotics» more  IROS 2007»
14 years 1 months ago
Modeling and motion planning for handling furniture by a mobile manipulator
— This paper introduces a planning method for handling furniture which exists in real world. We propose a method which is easily expandable its handle able furniture such as clos...
Kimitoshi Yamazaki, Takashi Tsubouchi, Masahiro To...
IROS
2007
IEEE
150views Robotics» more  IROS 2007»
14 years 1 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
14 years 1 months ago
Natural task decomposition with intrinsic potential fields
— Any given task can be solved in a number of ways, whether through path-planning, modeling, or control techniques. In this paper, we present a methodology for natural task decom...
Stephen Hart, Roderic A. Grupen