Generation of Observation Behavior in Multiple Mobile Robots
Generation of observation behaviors for object recognition considering
various components of heterogeneous robots.
Architecture of recognition and integration based on mapping obtained through
learning.
A method of autonomous positioning for active sensing by predicting sensory
inputs.
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Mobile robot and mobile manipulator
Observation behaviors considering heterogeneity of component units
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Simulation
model using OpenGL