2002 · 153 citations · 11 references
EngineeringComputer ScienceRobotics EngineeringHuman-robot InteractionRobot ControlRoboticsAssemblyAssembly SystemsHidden Markov ModelsHuman-machine InterfacesLearning From DemonstrationRobotics In ManufacturingHidden Markov Model TrainingHuman Operator ModelingLearning From Human DemonstrationModel Learning From DemonstrationsOperatorsRobot Learning From DemonstrationRobot Skill AcquisitionTask Learning From Demonstration
A new approach to skill acquisition in assembly is proposed. An assembly skill is represented by a hybrid dynamic system where a discrete event controller models the skill at the task level. The output of the discrete event controller provides the reference commands for the underlying robot controller. This structure is naturally encoded by a hidden Markov model (HMM). The HMM parameters are obtained by training on sensory data from human demonstrations of the skill. Currently, assembly tasks have to be performed by human operators or by robots using expensive fixtures. Our approach transfers the assembly skill from an expert human operator to the robot, thus making it possible for a robot to perform assembly tasks without the use of expensive fixtures.
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An introduction to hidden Markov models
L. R. Rabiner, Biing‐Hwang Juang · IEEE ASSP Magazine · 1986 · 4.8K citations
Hidden Markov Models for Speech Recognition
B.-H. Juang, L. R. Rabiner · Technometrics · 1991 · 608 citations