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Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity
Humanoid has announced that its KinetIQ Ascend technology achieves an impressive 99.9% manipulation reliability, capable of performing industrial tasks at human speed and even surpassing it. This breakthrough is attributed to advanced reinforcement learning techniques that enable robots to exhibit human-level dexterity. The development marks a significant advancement in robotics, potentially transforming efficiency in various industrial applications.
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Humanoid Announces its KinetIQ Ascend Reinforcement Learning Approach
A groundbreaking robotic system has demonstrated its effectiveness in various manipulation tasks, including retrieving parts from bins, delivering objects to humans, and lifting and moving containers with its dual arms. This innovative technology was rigorously tested and has shown promising results across multiple scenarios, showcasing its potential for practical applications in industries requiring automation. The trials were conducted recently, highlighting the system's versatility and efficiency in handling complex tasks that typically require human intervention. As industries increasingly seek to enhance productivity through automation, this new robotic solution could play a significant role in transforming operational workflows.
From Fleet to Joint: Inside Humanoid’s KinetIQ "Physical AI" Framework
Humanoid has introduced KinetIQ, an advanced AI architecture aimed at managing robot fleets across various sectors, including retail, industrial, and home environments. This innovative system employs a cross-timescale approach, allowing for seamless coordination and operation of multiple robots simultaneously. The unveiling of KinetIQ marks a significant step forward in robotic technology, enhancing efficiency and adaptability in diverse applications. The announcement was made in October 2023, showcasing Humanoid's commitment to advancing automation and artificial intelligence in everyday settings.
Europe HMND-01 embodied-ai HumanoidRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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