46 stories tagged Robotics · page 2 of 2
Scientists found that AI models often predict realistic-looking but physically impossible outcomes. They propose a new approach that focuses on understanding real-world physics to make AI more reliable.
Shift, an AI training startup, is offering free home cleaning services in exchange for recording the process to train future robots. The company will use footage of cleaners scrubbing, vacuuming, dusting, tidying, and washing to improve its AI models.
Researchers developed POLAR, an AI system that helps robots learn personal preferences through long-term interactions. This could make future home robots more helpful by understanding individual needs.
Human Archive is paying gig workers in India to collect real-world physical data for AI and robotics training. This approach could make robots more adaptable to everyday human environments.
Google I/O 2026 featured insightful discussions on AI, quantum computing, robotics, and creativity. Leaders shared their visions for how these technologies will shape our future.
Google DeepMind has integrated Street View into its Genie world model, creating realistic simulations of real-world streets. This advancement could revolutionize robotics, gaming, and travel planning by offering immersive, interactive environments.
Figure AI's humanoid robots are now working in warehouses, grabbing and sorting packages. This could change how we get our online orders. The robots are still in testing, but they're impressively dexterous.
NVIDIA has fine-tuned its Cosmos Predict 2.5 model to generate realistic robot videos. This advancement could revolutionize robot training and simulation.
Researchers have developed a new system called VegAS that helps AI-powered robots make better decisions. It acts like a 'think twice' filter, improving their ability to handle unexpected situations. This could make robots more reliable in real-world tasks.
Researchers developed PIVOT, a system that helps AI agents improve their plans by learning from real-world failures. This could make AI assistants and robots more reliable in everyday tasks.
Researchers have developed a new AI framework called PRISM that helps AI agents make better decisions by tightly connecting what they see with how they think. This could improve AI assistants that interact with the real world, like robots or smart home systems.
Researchers have developed a new way for robots to plan complex tasks by combining both text and visual reasoning. This could lead to robots that can handle more intricate, real-world jobs. The key is a system called Interleaved Vision-Language Reasoning (IVLR), which helps robots understand both the logical steps and spatial constraints of a task.
Researchers propose a new way for AI to understand the world by combining physics with predictive models. This could make AI systems like robots and self-driving cars smarter and more adaptable.
Meta has acquired Assured Robot Intelligence, a humanoid robotics startup, to enhance its AI models for robots. This move underscores Meta's growing interest in physical AI applications beyond virtual environments.
A new study evaluated 72 large language models on safety for robotic health attendants, finding a 54.4% average violation rate. The results highlight significant risks in deploying LLMs for medical applications without rigorous safety protocols.
Researchers introduce Distill-Belief, a teacher-student framework to address the challenge of closed-loop inverse source localization and characterization. This method aims to balance speed and accuracy in uncertain environments.
China is aggressively investing in embodied AI to revolutionize its robotics industry. This strategy aims to position the country as a global leader in AI-driven automation by 2030.
Physical Intelligence's new π0.7 model can perform tasks it wasn't explicitly trained for, marking progress toward general-purpose robotics. This breakthrough could revolutionize automation and robotics applications.
NVIDIA has released Isaac GR00T N1.7, an open-source reasoning model designed for humanoid robots. This model enables advanced decision-making and interaction capabilities for robotic systems.
Researchers introduce Object-Oriented World Modeling (OOWM), a framework that enhances embodied reasoning in robots by structuring world modeling through software principles. This approach addresses the limitations of traditional Chain-of-Thought prompting in complex planning tasks.
Researchers introduce SCBench, a rigorous new benchmark to evaluate AI's spatial reasoning. Existing tests fall short in assessing real-world navigation and planning. The benchmark spans three hierarchical capability buckets, testing executable outputs with deterministic checkers.
TechCrunch is bringing its Startup Battlefield to Tokyo for SusHi Tech 2026, spotlighting AI, robotics, and other transformative technologies. The event will feature live demos and discussions on how these innovations are reshaping industries.