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ICML
2000
IEEE
14 years 7 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
EXPERT
2000
89views more  EXPERT 2000»
13 years 6 months ago
A Laboratory Course in Behavior-Based Robotics
The Behavior-Based Robotics course at Northwestern University is a project-oriented course that gives undergraduate and graduate students exposure to programming research-grade ro...
Ian Horswill
FSKD
2007
Springer
277views Fuzzy Logic» more  FSKD 2007»
14 years 13 days ago
Autonomous Robot Control Using Evidential Reasoning
Evidence theory has been widely applied to uncertainty reasoning. In this paper a finite state machine with evidential reasoning is proposed to control autonomous robots. The Khep...
Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
13 years 12 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
ICRA
2009
IEEE
207views Robotics» more  ICRA 2009»
13 years 4 months ago
Bayesian network-based behavior control for skilligent robots
A Skilligent robot must be able to learn skills autonomously to accomplish a task. "Skilligence" is the capacity of the robot to control behaviors reasonably, based on th...
Sang Hyoung Lee, Il Hong Suh