Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

tinyMAN - Lightweight Energy Manager Using Reinforcement Learning for Energy Harvesting Wearable IoT Devices

tinyML via YouTube

Overview

Explore a cutting-edge approach to energy management in wearable IoT devices through this 21-minute conference talk from the tinyML Research Symposium 2022. Delve into the concept of tinyMAN, a lightweight energy manager that leverages reinforcement learning for energy harvesting in wearable IoT devices. Follow PhD student Toygun BASAKLAR from the University of Wisconsin - Madison as he presents the framework's deployment, data collection process, and the reinforcement learning environment. Gain insights into the results, deployability, and potential impact of this innovative solution for achieving energy-neutral operation in wearable technology. Conclude with an overview of the project's sponsors and its implications for the future of energy-efficient IoT devices.

Syllabus

Introduction
Energy Neutral Operation
Framework Deployment
Data Collection
Environment
RL Framework
Results
Deployability
Conclusion
Sponsors

Taught by

tinyML

Reviews

Start your review of tinyMAN - Lightweight Energy Manager Using Reinforcement Learning for Energy Harvesting Wearable IoT Devices

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.