Introduction This is part II of a two-part tutorial in which we will continue to learn how to build a speech controlled robot using Tensil open source machine learning (ML) acceleration framework, Digilent Arty A7-100T FPGA board, and Pololu Romi Chassis. In part I we focused on recognizing speech commands through a microphone. Part II will focus on translating commands into robot behavior and integrating with the Romi chassis. System architecture Let’s start by reviewing the system archite...
