Overview

Eka Robotics builds transport robotics systems that use automated guided vehicles, control software, and fleet management tools to move materials and automate handling. The platform trains robot controllers in simulation with self-supervised learning and then transfers the learned policies to real robots through sim-to-real reinforcement learning. It differentiates itself with a team from MIT, Berkeley, Harvard, DeepMind, and Boston Dynamics and a focus on physical AI, combining robotics, perception, control, and fleet management in one platform. The goal is to enable machines to automatically learn about their environment and continuously improve, delivering autonomous transport robotics and embodied intelligence for robotics and drones.

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