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» Using model knowledge for learning inverse dynamics
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CHI
2007
ACM
14 years 9 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 5 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
KI
2006
Springer
13 years 8 months ago
Agent Logics as Program Logics: Grounding KARO
Abstract. Several options are available to relate agent logics to computational agent systems. Among others, one can try to find useful executable fragments of an agent logic or us...
Koen V. Hindriks, John-Jules Ch. Meyer
ICCS
2003
Springer
14 years 1 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
14 years 3 months ago
Differential elastic actuator for robotic interaction tasks
For complex robotic tasks (manipulation, locomotion, haptics, ...), the lack of knowledge of precise interaction models, the difficulties to precisely measure the task associated ...
Michel Lauria, Marc-Antoine Legault, Marc-Andr&eac...