
Hyundai claims humanoid robot plan is not part of talks with striking workers
Hyundai Motor Company’s plan to put humanoid robots to work by 2028 is not part of current negotiations with striking South Korean autoworkers, according to the company. The automaker is disputing news reports that partial labor strikes by the Hyundai Motor union at the world’s largest automotive plant in South Korea were spurred by concerns about the company's planned deployment of humanoid robots in the United States starting in 2028. A company statement shared with Ars describes the union’s d
Hyundai says its planned deployment of humanoid robots at a US factory starting in 2028 is not a topic being negotiated in current labor talks with striking South Korean workers. The union had previously warned that any robot deployment must be negotiated and demanded job protections in the era of robots and AI, though the company characterizes current strike demands as focused on compensation issues like wages and bonuses. This dispute reflects broader labor tensions in South Korea following a new labor law that expanded worker rights and made large-scale automation subject to collective bargaining, with similar concerns also emerging from US autoworker unions.
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Can AI agents program industrial robots without training data? Berkeley says yes
The new RoboSimStudio is an open-source project that enables agentic AI coding of robotic simulation environments. | Credit: UC Berkeley UC Berkeley and NVIDIA have released open-source tools for a new approach: enabling teams of AI coding agents to write, simulate, and refine readable robot programs. Since the early days of industrial robots, programming, tuning, and troubleshooting robotic workcells has taken weeks to months. New research coming out of UC Berkeley has demonstrated that new age

Boston Dynamics adds wheels to Atlas humanoid to test whole-body control
Bridging the divide between deterministic physics-based control and policy-driven adaptation, Boston Dynamics has deployed a hybrid locomotion architecture on a wheeled variant of its Atlas humanoid. The “experiment” combined classical model-based motor control with whole-body reinforcement learning to maintain dynamic stability across unstructured, real-world terrain. In the video, Andy Wu, controls engineer for Atlas at Boston Dynamics, highlights some recent experiments that he

Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation
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Memories.ai builds standardized egocentric video pipeline
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