List of AI News about robotic automation
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2025-11-10 11:00 |
XPeng Unveils IRON: The Robot Kung Fu Master Showcasing Advanced AI and Robotics Integration
According to XPeng Motors (@XPengMotors), the company introduced IRON, a robot dubbed the 'Robot Kung Fu Master', highlighting its ability to mimic human-like movement, balance, and inner peace through advanced AI algorithms. This demonstration underscores the rapid progress in robotics powered by machine learning and motion control, signaling new business opportunities in entertainment, education, and human-robot interaction. XPeng's innovative application of AI and robotics positions the brand at the forefront of practical, market-ready humanoid robots, which could disrupt multiple industries and drive AI-powered automation (source: XPengMotors on Twitter, Nov 10, 2025). |
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2025-09-02 20:16 |
AI Robotics Demonstrate Advanced State Transition and Manipulation Skills: Diverse Spatial, Particle, and Thermal Abilities
According to @nicolaswulfram on Twitter, the latest advancements in AI robotics now include the ability to recognize and manipulate objects through diverse state transitions such as spatial (next_to, inside, on_top, under, touching), particle (covered, uncovered), and thermal (hot, cooked, on_fire, frozen) states. These capabilities enable robots to perform complex tasks like slicing, dicing, opening, closing, and managing on/off or attached states, significantly enhancing automation in manufacturing, logistics, and home robotics. This development opens up new business opportunities for companies to deploy AI-powered robots in environments that require nuanced handling and context-aware actions, driving efficiency and expanding the range of practical AI applications (source: @nicolaswulfram, Twitter). |
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2025-05-29 17:13 |
How AI-Powered Robotics Evolved from Clumsy Movements to Dexterous Manipulation: Insights from Google DeepMind
According to @GoogleDeepMind, recent advances in AI-driven robotics have enabled machines to transition from basic, clumsy actions to sophisticated, dexterous manipulation. In their podcast featuring Senior Director @fryrsquared and Head of Robotics @parada_car88104, they discuss how integration of advanced computer vision, deep learning algorithms, and real-time reasoning allows robots to see, understand, and interact with complex environments. These breakthroughs are enabling new business opportunities in logistics, manufacturing automation, and service robotics, where precise manipulation and adaptive behavior are critical (source: @GoogleDeepMind, May 29, 2025). |