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May 23-24, 2019 | Vienna, Austria
Robotics and Artificial Intelligence
2nd International Conference on
Research & Reviews: Journal of Engineering and Technology | ISSN: 2319-9873 | Volume 8
Agent-embedded robots with machine intelligence
Jong-Hwan Kim
KAIST, Japan
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
knowledgeapplication.Thelong-termmemoryisdevelopedas
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 planning algorithm. The effectiveness of
the agent-embedded robot development is verified through
experiments with a humanoid robot, Mybot, developed
in the Robot Intelligence Technology Lab. At KAIST, Agent-
embeddedMybotisintroducedmainlyfornaturalinteractions
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:
JET, Volume 8 | ISSN: 2319-9873