How AI could enable autonomous robot workers in workplaces, and maybe homes
In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, the idea of general-purpose robots helping humans with various tasks in workplaces or even homes may not seem far-fetched. But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become
Robotics researchers and companies are working to develop general-purpose robots that can operate autonomously in unpredictable environments and perform a wide variety of tasks with minimal human supervision. Recent advances in artificial intelligence, particularly reinforcement learning and large foundation models trained on massive amounts of data, have made this goal seem increasingly achievable compared to earlier eras when robots could barely navigate simple spaces. The challenge now involves combining multiple AI techniques, collecting sufficient training data through methods like human teleoperation, and enabling robots to handle complex perception, motor skills, and the ability to generalize their behaviors to new situations. Such autonomous robots could eventually assist humans in workplaces and homes, though they may take many different forms rather than appearing as humanoid figures.
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Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model
Alphabet Inc.’s artificial intelligence research lab, Google DeepMind, Tuesday debuted the next generation of Gemini Robotics, the company’s most capable vision-language-action model to date for creating an “AI brain” for robotics. Separately, DeepMind announced AlphaGenome 2 today, a next-generation AI model that can predict how DNA sequences and their variations affect human cell types, creating […] The post Google DeepMind releases new advanced robotics AI model and next-generation gene
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
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