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

1. Pre-registration is required. Limited seats only.
2. Participants are advised to bring a laptop.
3. Certificates will be given to attendees who complete the session.
4. Workshop content may be subject to minor changes based on speaker discretion.
5. Registration fee (if applicable) is non-refundable.

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