Iván Hernández Dalas: The future of physical AI isn’t humanoid; it’s task-specific and cost-efficient
Robots need edge processing to act safely in the real world, says Hailo. Source: Hailo AI Artificial intelligence has evolved in distinct phases. Early systems focused on perception: identifying objects, recognizing speech, and extracting meaning from data. Generative AI expanded those capabilities, enabling machines to create content. More recently, agentic systems have begun coordinating complex workflows across digital environments. But across all of these stages, artificial intelligence has largely remained confined to the digital world. That is now changing. The next phase of AI is physical. Instead of producing outputs on a screen, physical AI systems interact directly with the real world – navigating environments, manipulating objects, and making decisions that carry immediate consequences. This shift introduces new requirements and is already reshaping how robotics systems are designed and deployed. From perception to action For years, AI in robotics was primarily about p...