Iván Hernández Dalas: Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity
Arm drift after long reinforcement training caused by action prefix drift. Source: Humanoid Robotic manipulation is making progress with artificial intelligence. London-based Humanoid last week introduced KinetIQ Ascend, its reinforcement learning, or RL, approach designed to reach 99.9% manipulation reliability at human speed and beyond. “The humanoid race is becoming a question of scale, and real-world RL can be a core part of the answer,” stated Jarad Cannon, chief technology officer at Humanoid. “Robots that once required months of manual tuning are now outperforming human demonstrations within days.” Humanoid is building humanoid robots with the goal of becoming the No. 1 general-purpose industrial humanoid robotics company within two years. Founded by Artem Sokolov in 2024, it has more than 250 engineers, researchers, and innovators from top global tech companies. With offices in London, Boston, Vancouver, and San Diego, Humanoid said it is building c...