Integrated Development Environment for the Seamless Development between Robot System and Deep Neural Network

Abstract

Recently, the application of artificial intelligence for the robotics is expected. On the other hand, both the development of robots and AI need high technological skills. A lot of frameworks or tools are released for developing robots or neural networks easily. For example, in the robot region, OpenRTM-aist has OpenRTP which is an Eclipse based tool for making software of RT Middleware. And also, in neural network region, Keras is one of the easy developing frameworks with TensorFlow and Theano. There are many good frameworks and tools, however, there is a high wall between the regions: tools for robot systems are not for neural networks, and vice versa. It is necessary to build a new environment to develop robot systems and neural networks. So, we have developed an IDE “AirGraph” for the developing of robots with AI system, which can be used easily and simply. In this paper, first, we introduce the idea about the IDE and a case study of it. Then, we suggest the “AirGraph” including the implementations to solve issues found in the case study.