55 stories tagged Robotics
Researchers introduced Mirror, a self-supervised AI system that learns to translate videos into actions through environment interactions, eliminating the need for large human-collected datasets and making robots more adaptable.
Laplace Intelligence, a University of Michigan spinout, uses AI agents and interactive simulations to stress-test robots and self-driving vehicles before real-world deployment, aiming to improve safety and reliability.
Safeworld is developing digital human simulations to test and validate the safety of AI-powered robots, aiming to build public trust and establish industry safety standards.
Meta is testing robots to perform routine maintenance and inspection tasks in its data centers, aiming to improve efficiency and reduce human workload. The robots work alongside technicians, not replace them, and are still in early trials.
Researchers developed a system that generates, validates, and iteratively corrects ABB RAPID robot programs from natural language task descriptions. The system uses a dual-stream retrieval-augmented generation (RAG) pipeline to ground code generation in verified technical documentation and production templates, reducing domain-specific errors produced by ungrounded language models.
The latest episode of the Moonshots podcast explores OpenAI's voluntary pause on select frontier reinforcement learning runs, severe global memory bottlenecks, and new speed records set by humanoid robotics.
Scientists have developed an AI chip that mimics the brain's ability to control movement in real-time. It solved problems using 10,000 times fewer calculations than traditional AI, making it much more efficient for robotics and autonomous vehicles.
Google DeepMind released Gemini Robotics 2, an AI model that controls entire humanoid robots from feet to fingertips, expanding beyond the previous version's upper-body-only capability.
NVIDIA released Cosmos-H-Dreams, an open-source generative simulation tool that lets surgical robots practice complex procedures in real-time virtual environments, improving safety and precision before they ever touch a patient.
NVIDIA has open-sourced a suite of simulation tools for training AI in realistic physical environments, aiming to accelerate robotics and automation research. The tools include advanced physics engines and high-fidelity 3D environments, making high-quality simulation accessible to more developers.
Hugging Face released Grabette, an open-source system that records and shares detailed robot manipulation data. It lowers the barrier for robotics research by making data collection accessible to anyone, not just well-funded labs.
Agility Robotics has opened a new training center for its Digit humanoid robots in Fremont, California, just miles from Tesla's headquarters. The facility will be used to test and refine Digit's capabilities in real-world scenarios, intensifying the competition in the humanoid robotics space.
Researchers have enhanced neuro-symbolic AI by adding probability to logical reasoning, enabling AI to make educated guesses about unknown information while preserving its logical structure. This could lead to robots that learn and reason like humans, but with more transparency and structure.
Researchers introduced SPINE (Scalable Physical Integration with ageNtic Expertise), an agentic AI framework that automates the debugging and deployment of bimanual robots, reducing the need for expert-driven calibration and making advanced robotics more accessible.
General Intuition is betting that millions of hours of video game data can train the foundation models for physical AI, enabling smarter robots with minimal real-world data — a potential 'ChatGPT moment' for robotics.
Researchers have developed a new unified multimodal foundation model that jointly models vision, language, world dynamics, and action generation. This advancement could lead to more capable robots and virtual assistants that can understand instructions, anticipate environmental changes, and execute precise actions over extended horizons.
LeRobot v0.6.0 is an open-source library focused on real-world robotics, providing datasets, models, and simulation tools for reproducible AI research. It is not an image generation tool.
Ubtech has introduced humanoid robots designed to provide companionship and assistance. These robots feature advanced AI to understand and respond to human emotions and needs.
Researchers developed a system to prevent safety violations in autonomous agents. It uses five gears to manage different stages of operation, ensuring stability and continuity. This could make AI-driven robots and software agents safer for real-world use.
Proception, a robotics startup, has settled a trade secret lawsuit with Tesla and secured $11 million in funding. The company is developing advanced robot hands using a unique approach to training data collection.
Researchers created a benchmark to test if AI planners can follow hidden social norms, not just explicit goals. This helps AI act more appropriately in everyday environments, like knowing not to interrupt people.
Researchers developed LAGO, a system that helps AI robots plan tasks by understanding human language. This could make robots more useful in everyday settings. The framework predicts intermediate goals from language, reducing errors in planning.
Hugging Face has integrated MCP (Model Context Protocol) tools into the Reachy Mini robot, making it easier to program and control. This could open up robotics to more developers and hobbyists.
Researchers at Rice University have developed a system that allows robots to learn complex tasks by watching videos. This could make robots more adaptable and useful in everyday environments.