Edge ML in Resource-Constrained Field Robot – Workshop

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Edge ML in Resource-Constrained Field Robot – Workshop
William scott

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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.

 

Take your ML skills to the edge – literally. Learn, build, and innovate where it matters most.
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