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Physical AI

Physical AI refers to artificial intelligence systems that perceive, reason, and act in the physical world through sensors, actuators, and embodied control. Unlike purely digital AI, Physical AI connects software intelligence with real-world interaction, enabling robots, autonomous machines, and smart devices to move, manipulate objects, and respond to dynamic environments. This topic covers perception, motion planning, control systems, and learning-based behaviors used in robotics, autonomous vehicles, and industrial automation. It also explores simulation, digital twins, and real-world training methods that bridge the gap between virtual models and physical execution. As AI increasingly leaves the screen and enters the real world, Physical AI represents a critical foundation for scalable, intelligent machines operating outside controlled environments.

BMW and PepsiCo Partner Sereact Raises $110 Million Series B to Scale AI Robotics Software Across Industrial and Humanoid Robots

BMW and PepsiCo Partner Sereact Raises $110 Million Series B to Scale AI Robotics Software Across Industrial and Humanoid Robots

Artificial Intelligence (AI), Business & Markets, News, Robots & Robotics, Story of the Day

Stuttgart-based AI robotics software company Sereact has raised $110 million in a Series B led by Headline, with customers including BMW and Daimler Truck already running its vision-language-action models in live production environments.

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Gartner: Half of New Warehouses in Developed Markets Will Be Human-Optional by 2030
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Artificial Intelligence (AI), Automation, Business & Markets, News, Robots & Robotics

Gartner: Half of New Warehouses in Developed Markets Will Be Human-Optional by 2030

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Gartner predicts that 50% of new warehouses built in developed markets by 2030 will be designed as robot-centric facilities where human labor is required only for exception handling, driven by labor shortages, cost pressure, and advances in AI-orchestrated intralogistics.