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» MABLE: a framework for learning from natural instruction
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AAAI
2006
13 years 6 months ago
Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions
Following verbal route instructions requires knowledge of language, space, action and perception. We present MARCO, an agent that follows free-form, natural language route instruc...
Matt MacMahon, Brian Stankiewicz, Benjamin Kuipers
AAMAS
2010
Springer
13 years 5 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
AAAI
2011
12 years 5 months ago
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
Stefanie Tellex, Thomas Kollar, Steven Dickerson, ...
ICCD
2002
IEEE
113views Hardware» more  ICCD 2002»
13 years 10 months ago
A Framework for Data Prefetching Using Off-Line Training of Markovian Predictors
An important technique for alleviating the memory bottleneck is data prefetching. Data prefetching solutions ranging from pure software approach by inserting prefetch instructions...
Jinwoo Kim, Krishna V. Palem, Weng-Fai Wong
MMM
2010
Springer
154views Multimedia» more  MMM 2010»
13 years 9 months ago
Learning Cooking Techniques from YouTube
Abstract. Cooking is a human activity with sophisticated process. Underlying the multitude of culinary recipes, there exist a set of fundamental and general cooking techniques, suc...
Guangda Li, Richang Hong, Yantao Zheng, Shuicheng ...