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Advancement of Action Models through Model Circulation among Robots and Model Builders in the Robot AI Ecosystem

Yu Sakai, Kazuyuki Morioka

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Abstract

Recently, AI-based action models are expected to be applied to the robot systems. This study proposes the robot AI ecosystem for AI-based action models. This extends the platform sharing action models to the model circulation system through sharing demonstration data and model building. Specifically, we will focus on building advanced models through model circulation among the demonstration data of the robot behaviors and model training by the model builders in the ecosystem. Experiments in two scenarios to build the new gener- ation action models through model circulation were performed to demonstrate the advancement of the action models. The results of experiments confirmed that open collaboration among the robots and the model builders in the ecosystem is effective for creating the advanced action models.

Index terms

Integration Platforms Machine Learning Robotics