Mechanisms of implicit learning: connectionist models of sequence processing
Mechanisms of implicit learning: connectionist models of sequence processing
Sequence Learning - Paradigms, Algorithms, and Applications
Sequence Learning - Paradigms, Algorithms, and Applications
Creating Brain-Like Intelligence
Development of complex robotic systems using the behavior-based control architecture iB2C
Robotics and Autonomous Systems
A language for formal design of embedded intelligence research systems
Robotics and Autonomous Systems
A Real-Time Hybrid Architecture for Biped Humanoids with Active Vision Mechanisms
Journal of Intelligent and Robotic Systems
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Long-term human≬robot interaction, especially in the case of humanoid robots, requires an adaptable and varied behavior base. In this paper, we present a method for capturing, or learning, sequential tasks by transferring serial behavior execution from deliberative to routine control. The incorporation of this approach leads to the natural development of complex and varied behaviors, with lower demands for planning, coordination and resources. We demonstrate how this process can be performed autonomously as part of the normal function of the robot, without the need for an explicit learning stage or user guidance. The complete implementation of this algorithm on the Sony QRIO humanoid robot is described.