last-mile delivery AI News & Updates
Coco Robotics Establishes Physical AI Research Lab with UCLA Professor to Leverage Five Years of Delivery Robot Data
Coco Robotics, a last-mile delivery robot startup, has appointed UCLA professor Bolei Zhou as chief AI scientist to lead a new physical AI research lab. The lab will leverage millions of miles of data collected by Coco's delivery robots over five years to develop autonomous navigation systems and reduce delivery costs. This initiative is separate from Coco's existing collaboration with OpenAI and focuses on improving the company's own automation capabilities.
Skynet Chance (+0.01%): The development of autonomous physical AI systems with real-world learning capabilities represents incremental progress in AI operating independently in physical environments, though the application is limited to commercial delivery robots with constrained objectives and operational domains.
Skynet Date (+0 days): The accumulation of large-scale real-world robotics data and establishment of dedicated physical AI research modestly accelerates the development of embodied AI systems that can learn and operate autonomously in complex environments.
AGI Progress (+0.01%): This represents meaningful progress in physical AI and embodied intelligence by combining large-scale real-world data collection with advanced research in computer vision, robot navigation, and reinforcement learning, which are key components for developing general-purpose intelligent systems.
AGI Date (+0 days): The establishment of a dedicated physical AI lab with substantial real-world data and top research talent modestly accelerates progress toward embodied AGI by addressing the critical challenge of learning from physical world interactions at scale.