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allied
academies
October 22-23, 2018 | Frankfurt, Germany
International Conference on
Robo t i c s a n d A u t oma t i o n
B iomater ial s and Nanomater ial s
Joint Event
&
Journal of Biomedical Research | Volume 29
Agent-embedded robots with machine intelligence
Jong-Hwan Kim
KAIST, South Korea
To develop agent-embedded robots with machine
intelligence (MI), the design of intelligence operating
architecture (iOA) is required for sensing, thinking and
action. One of the key modules in iOA is the memory
module for storing temporal event sequences of tasks,
the mechanism of thought for reasoning, and motion
planning for execution, among others. This talk introduces
how to develop agent-embedded robots with MI based on
iOA, focusing on long-term memory for active knowledge
acquisition and adaptive knowledge application. The long-
term memory is developed as an integrated multi-memory
neural model, in which episodic memory is designed using
a Deep DRN (Developmental Resonance Network) neural
model and semantic memory is built using the DRN-tree.
Procedural memory is also designed using the context-based
RNN (recurrent neural network) to store the trajectories of
the manipulators along with context information and then
retrieve them according to the context without conscious
thinking. Robots are taught either by human demonstration
or symbolic description. A behavior appropriate to the
current situation is selected by the mechanism of thought
learned through machine intelligence learning, while a
proper task is retrieved from the Deep DRN model. The
behaviors are executed safely and quickly with the motion
planningalgorithm. Theeffectiveness of theagent-embedded
robot development is verified through experiments
with a humanoid robot, Mybot, developed in the Robot
Intelligence Technology Lab. at KAIST. Agent-embedded
Mybot is introduced mainly for natural interactions including
VQA (Visual Question Answering) with humans. In the last
part, AI World Cup shall be introduced, which has three
categories, AI Soccer, AI Commentator, and AI Reporter.
e:
Robotics & Biomaterials 2018, Volume 29
DOI: 10.4066/biomedicalresearch-C6-017