In a conversation with John Furrier of SiliconANGLE & theCUBE at NYSE Wired – Robotics & AI Media Week, our co-founder and CEO Akash Gupta shared his perspective on how AI is transforming physical automation in ways we couldn’t imagine just a few years ago.
Akash explained how the application of robotics can accelerate AI 10x because of two aspects: “being able to sense the environment really well and being able to train the neural networks to make sure that the learning is much faster, but then also being able to orchestrate hundreds and thousands of robotic agents to collaborate with each other, to take a mission and execute.”
One of the most fascinating parts of the discussion centered around how reinforcement learning is changing the game. While supervised learning has dominated AI conversations, the real breakthrough comes when systems continuously learn from real-world interactions. As Akash noted, the more the world can move toward a balance of supervised learning and reinforcement learning, the easier training will become.
The interview also explored the critical role of digital twins in physical orchestration – creating virtual replicas of real physical warehouses and stores that evolve in real-time as conditions change. This approach enables dynamic decision-making that adapts to constantly shifting retail store and warehouse environments.
Watch the full interview for more insights on the evolving landscape of physical AI and automation.