Deploying physical AI at scale: Key insights from our panel discussion (www.viam.com)

A recent panel discussion at Viam HQ highlighted the emergence of physical AI, featuring industry leaders who delved into the complexities of deploying intelligent systems in real-world environments. Key insights underscored the critical role of rapid iteration in development, with Simone Kalmakis emphasizing the need for agile experimentation across hardware and software to avoid deployment stagnation. Nicole Maffeo shared her experience at Gambit Robotics, illustrating how streamlined debugging processes enable quicker identification of issues in production. The panel also advocated for a collaborative approach, positioning physical AI as a tool to augment human capabilities rather than replace them. This human-machine partnership is vital for navigating the unpredictable nature of real-world tasks, balancing AI's strengths in data processing with human insight for complex decisions. While advancements in software are promising, the discussion revealed ongoing hardware constraints that challenge widespread deployment. The consensus was clear: successful physical AI application hinges on fast iteration, clear infrastructure connecting software and hardware, and a focus on specialized applications that meet specific industry needs rather than striving for generalized solutions.