A single destination for timely, editor-curated robotics news from around the world.
A comprehensive survey on vision-language-action models for embodied artificial intelligence has been published in the Journal of Field Robotics. This survey explores the integration of visual perception, language understanding, and action execution in AI systems, highlighting the advancements and c...
On September 14, Digua Robotics and Giga Vision announced a strategic collaboration focused on integrating their respective technologies. Giga Vision will provide world models, embodied foundational models, and real-world application experience, while Digua Robotics will contribute an edge AI comput...
Microsoft has unveiled a provisional code of conduct that establishes restrictions for its future artificial intelligence models. This decision follows a growing consensus among AI leaders, including those from Anthropic and OpenAI, advocating for a deceleration in AI development due to rising safet...
In a significant development for the manufacturing sector, experts have highlighted the transformative potential of Variational Latent Models (VLMs) in enhancing quality assurance processes. While acknowledging that VLMs will not address every challenge faced in the realm of artificial intelligence...
On July 10, Ant Group introduced LingBot-VA 2.0, the first embodied native action model in the industry. This release marks the culmination of their full-stack 2.0 model series, featuring advancements in spatial perception and real-time interaction. The launch has generated significant buzz across i...
Tesla's Optimus robots will not be used to repair Starmind satellites in orbit, as confirmed by recent statements from Elon Musk. Instead, these robots are intended to assist in the construction and operation of the Terafab chip manufacturing facility in Texas. The AI1 satellites, designed to disint...
SpaceX has officially named its orbital AI infrastructure project 'Starmind,' which aims to deploy a constellation of up to 1 million satellites. This initiative, confirmed by Elon Musk on June 22, 2026, will enable AI inference directly in space, utilizing solar energy rather than terrestrial power...
Large language models (LLMs) have transitioned from research labs to everyday use in engineering, significantly altering how digital infrastructures are developed and maintained. As technical professionals increasingly rely on LLMs for complex tasks—such as identifying vulnerabilities in source code...
Researchers at Los Alamos National Laboratory have unveiled a groundbreaking tool named Prelim Attention, designed to enhance the analysis of complex data sets. This innovative tool, which leverages advanced machine learning techniques, aims to streamline the process of identifying significant patte...
A recent study led by Seung Chan Hong at the University of Melbourne explores the emotional capabilities of collaborative robots as they increasingly work alongside humans. Published on May 18 in IEEE Robotics and Automation Letters, the research investigates how robots can better understand human e...
Reasoning about failures is crucial for building reliable and trustworthy robotic systems. Prior approaches either treat failure reasoning as a closed-set classification problem or assume access to ample human annotations. Failures in the real world are typically subtle, combinatorial, and difficult...
Carnegie Mellon University’s Robotics Institute is set to host the latest phase of the Vision-Language-Navigation (VLN) Challenge, aimed at advancing the ability of robots to comprehend and execute human instructions in real-world environments. This new iteration of the challenge, which takes place...
NVIDIA has introduced the Nemotron 3 Nano Omni, an innovative open multimodal AI model designed to enhance the efficiency of AI agent systems. Announced today, this model integrates vision, speech, and language capabilities into a single framework, addressing the common issue of time and context los...
AGIBOT has unveiled its latest innovation, Genie Envisioner 2.0, a significant advancement in embodied artificial intelligence. This new platform transforms traditional world models into scalable and interactive simulators, enabling robots to learn and optimize their performance within environments...
Recent advancements in large language models (LLMs) have led to significant improvements in various domains, particularly in coding. However, a notable limitation remains: LLMs struggle to play video games effectively. Despite some successes, such as Gemini 2.5 Pro defeating Pokémon Blue in May 2025...
Helix, an innovative Vision-Language-Action model, has been developed to enhance humanoid robotics by providing full upper-body control and facilitating collaboration among multiple robots. This cutting-edge technology enables robots to execute tasks involving new objects through natural language pr...
The recent deployment of foundation models across various industries marks a significant transformation in the application of artificial intelligence. This shift is not merely about introducing a singular, powerful solution to replace existing workflows; rather, it emphasizes a complex and iterative...
Carnegie Mellon University's Robotics Institute is set to host the CMU Vision-Language-Autonomy Challenge, an event designed to unite researchers focused on the integration of computer vision, natural language understanding, and autonomous navigation. Scheduled for the near future, this challenge ai...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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