Robotics

Who wins and who loses after US bans foreign robots?

Humanoid robots and four-legged robots made in China fall squarely under a new ban imposed by the US Federal Communications Commission on foreign-made robots. But the sweeping prohibition covers a wide variety of robots manufactured anywhere abroad, including the newest robot vacuum cleaners. The Trump administration's FCC justified the ban on foreign-made robots by referencing cybersecurity vulnerabilities previously discovered in robots specifically made by Chinese companies. On July 28, the f

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The US Federal Communications Commission has banned the import of foreign-made robots, citing cybersecurity vulnerabilities discovered in robots made by Chinese companies. The ban applies to mobile robots including humanoid robots, quadrupeds, and advanced robot vacuums that weigh more than 4.4 pounds and have sensors and network connectivity, though it exempts medical robots, fixed industrial robots, and previously authorized models. Supporters argue the ban will encourage US robotics manufacturing and help America lead in this technology sector, while critics warn it could slow US innovation by cutting off access to affordable Chinese platforms that researchers currently use to develop humanoid robots.

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Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model

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Gemini Robotics 2.5 accelerates real-world general dexterity

Our most capable vision-language-action model enhances robot dexterity, reliability, and safety

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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

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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

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Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

Simulation, which has long been the proving ground for robots learning to walk, roll and hop, is now helping researchers teach robots tasks that require a finer touch: aligning gears, connecting cables and assembling small components.  The shift from locomotion to manipulation is taking center stage at this week’s Conference on Robot Learning (CoRL) in Austin, Texas, alongside the rise of agentic robotics — a new paradigm that integrates frontier agents to create interpretable code for physical

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Memories.ai builds standardized egocentric video pipeline

Memories.ai models label every clip: Memories-H0 for hand pose, EgoAction for action segments. | Credit: Memories.ai Memories.ai is building a data pipeline for robotics companies that combines standardized video collection with AI-powered annotation to turn everyday egocentric footage into training data for robots. The San Francisco-based company is developing software and AI to help robots understand the physical world. It builds video-understanding models and data infrastructure, and it colle