Seminar on Machine Learning and Hardware Components for Intelligent Robot Implementation

This seminar will provide explanations of machine learning and hardware components required for implementing intelligent robots, along with operational demonstrations.
 
A critical point for intelligent robots is how well-suited the machine learning implementation is for embedded environments. These days, the implementation of intelligent robots has become easier through the use of various machine learning and AI software tools. However, data for machine learning is collected from sensors at each edge node. In particular, this seminar will primarily cover facial recognition machine learning through camera sensors.
Through this seminar, we invite you to explore the overall configuration of hardware setup for data collection from various sensors, as well as controller operation and operational applications (motors, LED, power control, and communication) based on this foundation.