Iitm Research Park, Kanagam, Tharamani, Tamil Nadu 600113, Chennai, India
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About the event
Edge ML in Resource-Constrained Field Robot – Workshop
Can machines think on the edge?
Step into the world of Edge Machine Learning — where smart algorithms meet real-world hardware in agriculture defense and remote-field robotics.
Join Esakki Raja Embedded Systems Expert for a power-packed hands-on session that explores how ML models can run efficiently on low-power field robots and smart devices. Experience the future of real-time AI decision-making on the edge.
Meet the Speaker
Esakki Raja is a seasoned Embedded Systems Expert with deep expertise in building intelligent systems that work in resource-constrained environments. His experience spans across agri-tech robotics and defense-grade IoT systems. A passionate educator and problem-solver Esakki helps innovators bring AI to the edge — where it’s needed most.
Location: IITM Research Park Chennai
Date & Time: 10 May 2025 10:00 AM – 1:00 PM
What You’ll Learn
Introduction to Edge ML and its importance in robotics
How to work with constrained computing environments
Use cases from agriculture defense and remote automation
Hands-on activity using real edge hardware
Live demo and behind-the-scenes tech breakdown
Career tips project ideas & open Q&A
Benefits of Attending
Learn to run ML models on real-world embedded systems
Get practical insights from an industry expert
Understand how to design for resource-constrained environments
Gain exposure to real-world robotics and field use cases
Receive a Certificate of Participation
Network with like-minded tech enthusiasts
Workshop Highlights
Interactive Edge ML session with hardware exposure
Use-case deep dives from agri-tech and defense
Hands-on mini project with edge devices
Expert career guidance & real-time Q&A
Certificate provided to all participants
Terms & Conditions
Pre-registration is required. Limited seats only.
Participants are advised to bring a laptop.
Certificates will be given to attendees who complete the session.
Workshop content may be subject to minor changes based on speaker discretion.
Registration fee (if applicable) is non-refundable.
Refund Policy
Refund is not possible, you can transfer your ticket to your friends.
