Big Data for Robotics
This talk will focus on the employment of Big Data infrastructures that we have leveraged for Human-Robot-Interaction. Several use cases and projects have already been developed on top of NAO/Zora, a completely programmable and autonomous humanoid robot, and they aim at allowing NAO/Zora to interact with humans using natural language for different tasks. Example use cases allow the robot:
1) talking to the user and understanding his/her sentiments by using a dedicated Semantic Sentiment Analysis engine;
2) generating answers to open-dialog natural language utterances through a Generative Conversational Agent;
3) performing action commands depending on open-dialog natural language utterances and a Robot Action ontology;
4) identifying which objects the user is showing to the robot cameras by using convolutional neural networks trained on a huge collection of annotated objects;
5) integrating Google Assistant technologies within NAO/Zora to experience a much more natural interaction with the robot;
playing with NAO/Zora;
6) using NAO/Zora to control smart objects. The source code of each use case is publicly available in repositories and dedicated videos show how they work.
Additional Details
Timezone -
Organisation - R2M Solution
Contact Name - Diego Reforgiato
E-mail - diego.reforgiato@r2msolution.com
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