NexCOBOT discusses physical AI market hurdles and acceleration
NexCOBOT, which exhibited at the Robotics Summit & Expo, provides a range of controllers. Source: NexCOBOT Humanoid robotics and physical AI developers are not only raising billions of dollars; they’re also getting acquired by big technology companies. This has implications for industrial adoption, according to Jenny Shern, general manager of NexCOBOT. For instance, Mobileye acquired Mentee Robotics for $900 million in January, Amazon bought Fauna Robotics in March, and Meta picked up
Large technology companies are acquiring robotics and physical AI startups at rapid rates, which has implications for how these technologies get adopted in industry. A NexCOBOT executive explained that big tech firms pursue acquisitions because smaller robotics companies have specialized expertise in areas like robot learning and perception, while larger companies have the computing infrastructure and capital to scale those innovations. AI-native robots, which are designed from the ground up to incorporate artificial intelligence for perception and decision-making, are advancing quickly but still require proven reliability and safety before widespread industrial adoption. Software and AI capabilities can be updated continuously on existing hardware through open platforms and standardized interfaces, allowing robotics development to move faster without waiting for entirely new hardware generations.
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Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model
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Also reported by MarkTechPost
Gemini Robotics 2.5 accelerates real-world general dexterity
Our most capable vision-language-action model enhances robot dexterity, reliability, and safety
Also reported by Ars Technica
Can AI agents program industrial robots without training data? Berkeley says yes
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Boston Dynamics adds wheels to Atlas humanoid to test whole-body control
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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
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