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ICNC
2009
Springer
14 years 2 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
ISSTA
2009
ACM
14 years 2 months ago
Specifying the worst case: orthogonal modeling of hardware errors
During testing, the execution of valid cases is only one part of the task. Checking the behavior in boundary situations and in the presence of errors is an equally important subje...
Jewgenij Botaschanjan, Benjamin Hummel
HAPTICS
2008
IEEE
14 years 2 months ago
Model and Modeless Friction Compensation: Application to a Defective Haptic Interface
Abstract. This paper describes a preliminary work devoted to the design of a control architecture for a defective haptic interface, i.e. an underactuated haptic interface not able ...
Gianni Borghesan, Claudio Melchiorri
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ICDIM
2007
IEEE
14 years 2 months ago
Control validation of D.E.S systems: Application to remote laboratories
Objectives of Automation courses are knowledge and know-how transfer to students. It is important for learner to control locally or remotely real systems composed of many sensors ...
Pascale Marange, François Gellot, Bernard R...