From Language to Robotics: Practical Lessons Bridging LLMs, RL, and AI

About

In recent years, large language models (LLMs) have redefined what machines can do with text. But language alone is not enough when the goal is true intelligence — grounded, embodied, and interactive. In this session, the speaker will share his ongoing journey from working with LLMs, Language agents and natural language processing to diving deep into the world of reinforcement learning and robotics.

Logesh will walk through how the intuitions developed in NLP & LLMs — translate (or don't) into embodied learning systems. He will explore some of the key concepts for making the transition, and his practical learning and struggles of building and training a robotic arm ( LeRobot and So-100). Of course, including a live demo featuring my robotic arms.

Whether you're a curious NLP expert or an RL enthusiast seeking cross-domain insights, this session offers practical wisdom, reflections, and guidance to navigate your next leap.

Key Takeaways:

  • Explore the intersection of language models and embodied intelligence through real-world robotics.
  • Learn how NLP and LLM intuitions carry over—or fail to—in reinforcement learning and physical systems.
  • Get practical insights from building and training robotic arms like LeRobot and So-100.
  • Watch a live demo showcasing how language-driven agents interact in the physical world.

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