Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

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

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.

UK startup Humanoid launches reinforcement learning system to improve robot manipulation

UK startup Humanoid launches reinforcement learning system to improve robot manipulation

UK-based robotics and AI company Humanoid has introduced KinetIQ Ascend, the company’s reinforcement learning approach designed to reach 99.9 percent manipulation reliability at human speed and beyond. KinetIQ Ascend builds on the previously announced KinetIQ platform with trial-and-error learning, helping the company’s robots improve directly on industrial tasks. The new system was tested on several […]

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