Robotics & Automation News

Where Innovation Meets Imagination

robotics ai

Lumos Robotics tops global benchmark test for zero-shot embodied AI

by

Lumos Robotics says its Prime R0 industrial embodied AI model has achieved the highest overall score on the latest MolmoSpaces leaderboard, outperforming larger models from competitors including Nvidia and research teams from the United States.

The Chinese robotics company said its 2.8-billion-parameter model ranked first across both single-arm fine manipulation and dual-arm collaboration tasks in the benchmark, which measures zero-shot embodied AI performance in previously unseen environments.

According to Lumos, Prime R0 surpassed models including Nvidia’s 16-billion-parameter Cosmos model as well as entries from researchers at the Massachusetts Institute of Technology (MIT) and Princeton University, despite using less than one-sixth as many parameters. [Read more…] about Lumos Robotics tops global benchmark test for zero-shot embodied AI

CVPR 2026 fields 16,000+ paper submissions on technical advances in AI

by

The program committee of the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), one of the world’s leading artificial intelligence (AI) and computer vision research events, has released the details of this year’s technical program.

Co-sponsored by the IEEE Computer Society (CS) and the Computer Vision Foundation (CVF), CVPR 2026 drew a record number of paper submissions – 16,092, a 24 percent increase over 2025. Through a rigorous peer-review process, about one-quarter were accepted to the program, resulting in 4,089 paper presentations.

“CVPR submissions have more than doubled over the past five years, but the acceptance rate has remained highly competitive, consistently in the low-to-mid 20 percent range,” said Alexander G. Schwing, associate professor, electrical and computer engineering, University of Illinois Urbana-Champaign, CVPR 2026 program co-chair. [Read more…] about CVPR 2026 fields 16,000+ paper submissions on technical advances in AI

Brain Corp and UC San Diego partner to advance the foundational intelligence layer for physical AI

by

Brain Corp, the real-world AI company, has expanded its research collaboration with the University of California San Diego, which is aimed at advancing semantic mapping and contextual intelligence technologies for autonomous robots operating in complex commercial and industrial environments.

The collaboration reflects a shared ambition to shape the future of physical AI, taking autonomous systems toward a deeper understanding of the physical world around them.

As vision-language-action (VLA) and other generative AI models transform robotics, Brain Corp and researchers at the UC San Diego Jacobs School of Engineering are tackling the industry’s most critical challenge: making next-generation autonomous systems reliable, scalable, and commercially deployable in dynamic real-world environments. [Read more…] about Brain Corp and UC San Diego partner to advance the foundational intelligence layer for physical AI

ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

by

ShengShu Technology has unveiled Motubrain, a world action model that replaces multiple task-specific systems with a single, unified model that functions as a robotic brain for the physical world.

ShenShu describes Motubrain as one brain that offers infinite possibilities for robotic intelligence.

Ranking highly on both WorldArena and RoboTwin 2.0, two of the field’s most rigorous benchmarks in embodied world models, Motubrain marks a decisive shift in an industry where robotic systems are typically built from task-specific or specialized systems. [Read more…] about ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

Ai2 releases open robotics model designed for real-world AI automation

by

The Allen Institute for AI (Ai2) has released MolmoAct 2, an open-source robotics foundation model designed to improve how robots perform real-world physical tasks, as researchers continue pushing beyond highly controlled laboratory demonstrations toward more adaptable automation systems.

The new model, announced this week by the Seattle-based AI research organization, is positioned as a major upgrade to its earlier MolmoAct system and reflects a broader industry effort to develop more general-purpose robotics AI capable of adapting to changing environments without extensive task-specific programming.

Ai2 describes MolmoAct 2 as an “open foundation for robots that work in the real world”, arguing that many current robotics systems remain too brittle and heavily tuned for narrow applications. [Read more…] about Ai2 releases open robotics model designed for real-world AI automation

QNX integrates with Nvidia IGX Thor to accelerate safety-critical AI deployment

by

At Hannover Messe, QNX, a division of BlackBerry, has announced an expansion of its collaboration with Nvidia to enable developers to build and deploy next‑generation, safety‑critical edge AI systems on Nvidia IGX Thor.

The expanded relationship sees QNX OS for Safety 8.0 integrated with Nvidia IGX Thor and Halos Safety Stack, combining QNX’s proven, deterministic real‑time operating system with Nvidia’s functional safety platform to support regulated, AI‑enabled systems across robotics, medical technologies, industrial applications and more. [Read more…] about QNX integrates with Nvidia IGX Thor to accelerate safety-critical AI deployment

Microsoft Research unveils Rho-alpha robotics model combining vision, language, and touch

by

Microsoft Research has announced Rho-alpha, a new robotics model designed to help robots understand natural language instructions and carry out complex physical tasks in less structured environments.

The model, derived from Microsoft’s Phi series of vision-language models, is being made available through the company’s Research Early Access Program. According to Microsoft, Rho-alpha is intended to advance a new generation of robotics systems capable of perceiving, reasoning, and acting in dynamic real-world settings.

For decades, robots have performed best in tightly controlled environments such as factories and warehouses, where tasks are predictable and carefully scripted. Recent advances in agentic AI, however, are enabling new “vision-language-action” models that allow physical systems to operate with greater autonomy. [Read more…] about Microsoft Research unveils Rho-alpha robotics model combining vision, language, and touch

Fujitsu expands partnership with Nvidia to build ‘full-stack AI infrastructure’

by

Fujitsu has expanded its collaboration with Nvidia to jointly develop full-stack AI infrastructure designed to accelerate adoption of artificial intelligence across multiple industries.

The partnership will focus on creating an AI agent platform tailored for sectors including healthcare, manufacturing, and robotics, alongside high-performance computing systems that integrate Fujitsu’s Fujitsu-Monaka CPUs with Nvidia GPUs using NVLink Fusion.

According to the companies, this combination is intended to enable self-evolving AI systems that continuously learn and adapt, providing enterprises with industry-specific automation tools. [Read more…] about Fujitsu expands partnership with Nvidia to build ‘full-stack AI infrastructure’

Linux Foundation launches Newton with Disney, DeepMind and Nvidia to advance robotics AI

by

The Linux Foundation, the nonprofit organization enabling mass innovation through open source code, has launched Newton, an open source, GPU-accelerated, extensible physics engine that enables faster, more scalable simulations to lower the barrier to robotics research.

Co-developed by Disney Research, Google DeepMind, and Nvidia, Newton was designed and built by and for robotics developers to tackle the modern-day challenges of building generalist robots.

Built on Nvidia Warp and OpenUSD, Newton delivers GPU‑accelerated simulation with a flexible, extensible architecture that supports multiple physics solvers. [Read more…] about Linux Foundation launches Newton with Disney, DeepMind and Nvidia to advance robotics AI

Toyota Research Institute unveils breakthrough in Large Behavior Models that requires ‘80 percent less data’

by

Toyota Research Institute (TRI) has unveiled promising results from a large-scale study on a new class of AI systems called Large Behavior Models (LBMs), which could significantly accelerate the development of general-purpose robots capable of adapting to real-world tasks.

The research, published today, shows that a single LBM can learn hundreds of manipulation tasks and apply that knowledge to new challenges with up to 80 percent less data compared to traditional approaches.

This marks a potential shift in how robots are trained, enabling them to generalize from diverse experiences rather than being hardcoded for specific tasks. [Read more…] about Toyota Research Institute unveils breakthrough in Large Behavior Models that requires ‘80 percent less data’