Webinar Series: How to Control Robots with Gestures

Understanding how to build and implement gesture control in robotics is an integral step in the development of smart applications. 

This two-part Webinar series will explore how to train and deploy deep learning models and integrate them into the Robot Operating System (ROS2) with cutting-edge, cost-optimized programmable logic and system-on-a-chip (SoC) solutions. Each 60-minute Webinar will use a fun robotics application to demonstrate the development steps required to create the foundation designs, as well as how to augment these designs with hardware accelerators. 

Each technical presentation includes an audience Q&A.


Part I: Training and Deploying a Classification Model
Available On-Demand until May 9, 2024 
This session will describe how to train a machine learning model for gesture recognition, using American Sign Language classification as an example. Through a series of easy-to-follow Jupyter Notebooks, attendees will learn to analyze and understand the dataset, train a classification model, and deploy it to the ZUB1CG programmable logic board with Vitis-AI framework.
 
Part II: Integrating a Model into ROS2
Available On-Demand until May 23, 2024
This session will introduce the ROS2, describe how to integrate the model trained in Part I into an ROS2 graph, and explore how to control a simple robot simulation with hand gestures.

Speakers:

	Mario Bergeron, Machine Learning Specialist, Avnet      Mario Bergeron is a Machine Learning Specialist at Avnet, who specializes in embedded vision and AI at the edge. He holds a bachelor’s degree in computer engineering from Université Laval in Québec City and started his career as an ASIC designer. Mario has more than 30 years of DSP- and FPGA-based embedded design experience. His present focus includes deep learning platforms, reference designs, and customer training.
	Bryan Fletcher, Product Line Manager, AMD     Beginning with his work on Lattice CPLDs in the 1990s, working on a Hewlett Packard high-speed test card, Bryan Fletcher has spent his career intrigued and fascinated with programmable logic devices. He currently serves as a Product Line Manager at AMD, covering SoC cost-optimized products, including the Zynq-7000 and Zynq UltraScale+ families. Bryan worked at Avnet and Memec for 22 years, first as a Xilinx-dedicated FAE and then in technical marketing, focusing on development boards like the Spartan 2 Low-Cost Eval board, Spartan-3A DSP Starter Kit, ZedBoard, and Ultra96-V2.
	Moderator: Amanda Hosey, Editor, SAE Media Group

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