Interactive behavior among humans is governed by the dynamics of movement synchronization in a variety of repetitive
tasks. This requires the interaction partners to perform for example rhythmic limb swinging or even goal-directed arm
movements. Inspired by that essential feature of human interaction, we present a novel concept and design methodology
to synthesize goal-directed synchronization behavior for robotic agents in repetitive joint action tasks. The agents’ tasks are
described by closed movement trajectories and interpreted as limit cycles, for which instantaneous phase variables are
derived based on oscillator theory. Events segmenting the trajectories into multiple primitives are introduced as anchoring
points for enhanced synchronization modes. Utilizing both continuous phases and discrete events in a unifying view, we
design a continuous dynamical process synchronizing the derived modes. Inverse to the derivation of phases, we also
address the generation of goal-directed movements from the behavioral dynamics. The developed concept is implemented
to an anthropomorphic robot. For evaluation of the concept an experiment is designed and conducted in which the robot
performs a prototypical pick-and-place task jointly with human partners. The effectiveness of the designed behavior is
successfully evidenced by objective measures of phase and event synchronization. Feedback gathered from the participants
of our exploratory study suggests a subjectively pleasant sense of interaction created by the interactive behavior. The
results highlight potential applications of the synchronization concept both in motor coordination among robotic agents
and in enhanced social interaction between humanoid agents and humans.
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Interactive behavior among humans is governed by the dynamics of movement synchronization in a variety of repetitive
tasks. This requires the interaction partners to perform for example rhythmic limb swinging or even goal-directed arm
movements. Inspired by that essential feature of human interaction, we present a novel concept and design methodology
to synthesize goal-directed synchronization behavior for robotic agents in repetitive joint action tasks. The agents’ tasks are
described by cl...
»