*Hosted by Andrei Palamariu*

Andrew Meyer has led Pickle Robot in shaping a new category of physical AI, deployable, human-like robotic systems built for the toughest workflows at the dock door. In this episode, he breaks down how Pickle’s robots are transforming the brutal, variable world of unloading and loading trailers across import, distribution, and parcel operations. We explore how years of research, from MIT labs to Honda’s ASIMO program, inform Pickle’s product philosophy, and why solving the “demo to product” gap matters more than ever as automation moves out of pilot mode and into enterprise deployment. Andrew reveals how learning-based robotics expand real-world capability, why the dock door is the ideal beachhead, and how customers can go from curiosity to robots driving throughput in as little as four weeks. From redesigning human roles to delivering measurable KPIs without reconfiguring buildings, we examine what it takes to scale physical AI with reliability, cybersecurity guarantees, and a fleet flywheel that gets smarter with every deployment. This is a deep dive into the future of robotics in logistics that is built on data, systems thinking, and operational reality.

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