China is making and installing factory robots at a far greater pace than any other country, with the United States a distant third, further strengthening China’s already dominant global role in manufacturing.
There were more than two million robots working in Chinese factories last year, according to a report released Thursday by the International Federation of Robotics, a nonprofit trade group for makers of industrial robots. Factories in China installed nearly 300,000 new robots last year, more than the rest of the world combined, the report found. American factories installed 34,000. — Read More
Tag Archives: Robotics
The Dead Internet Theory: A Survey on Artificial Interactions and the Future of Social Media
The Dead Internet Theory (DIT) suggests that much of today’s internet, particularly social media, is dominated by non-human activity, AI-generated content, and corporate agendas, leading to a decline in authentic human interaction. This study explores the origins, core claims, and implications of DIT, emphasizing its relevance in the context of social media platforms. The theory emerged as a response to the perceived homogenization of online spaces, highlighting issues like the proliferation of bots, algorithmically generated content, and the prioritization of engagement metrics over genuine user interaction. AI technologies play a central role in this phenomenon, as social media platforms increasingly use algorithms and machine learning to curate content, drive engagement, and maximize advertising revenue. While these tools enhance scalability and personalization, they also prioritize virality and consumption over authentic communication, contributing to the erosion of trust, the loss of content diversity, and a dehumanized internet experience. This study redefines DIT in the context of social media, proposing that the commodification of content consumption for revenue has taken precedence over meaningful human connectivity. By focusing on engagement metrics, platforms foster a sense of artificiality and disconnection, underscoring the need for human-centric approaches to revive authentic online interaction and community building. — Read More
China unveils bionic antelope robot to observe endangered Tibetan species
A lifelike robotic Tibetan antelope is now roaming the high-altitude wilderness of Hoh Xil National Nature Reserve in Northwest China’s Qinghai Province.
Equipped with 5G ultra-low latency networks and advanced artificial intelligence (AI) algorithms, the bionic robot is being used to collect real-time data on Tibetan antelope populations without disturbing them.
This is the first time such a robotic antelope has been deployed in the heart of Hoh Xil, which sits more than 15,092 feet (4,600 meters) above sea level. — Read More
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Recently, Vision-Language-Action (VLA) models have demonstrated strong performance on a range of robotic tasks. These models rely on multimodal inputs, with language instructions playing a crucial role — not only in predicting actions, but also in robustly interpreting user intent, even when the requests are impossible to fulfill. In this work, we investigate how VLAs can recognize, interpret, and respond to false-premise instructions: natural language commands that reference objects or conditions absent from the environment. We propose Instruct-Verify-and-Act (IVA), a unified framework that (i) detects when an instruction cannot be executed due to a false premise, (ii) engages in language-based clarification or correction, and (iii) grounds plausible alternatives in perception and action. Towards this end, we construct a large-scale instruction tuning setup with structured language prompts and train a VLA model capable of handling both accurate and erroneous requests. Our approach leverages a contextually augmented, semi-synthetic dataset containing paired positive and false-premise instructions, enabling robust detection and natural language correction. Our experiments show that IVA improves false premise detection accuracy by 97.56% over baselines, while increasing successful responses in false-premise scenarios by 50.78%. — Read More
Robotic neck incision replaces heart valve with no chest opening in world first
In a surgical first, doctors have replaced a heart valve through a small neck incision using robotic assistance, avoiding the need to open the chest.
The pioneering procedure, performed at the Cleveland Clinic by cardiothoracic surgeon Dr. Marijan Koprivanac, marks the first known clinical use of transcervical robotic access for aortic valve replacement (AVR).
Four patients underwent the technique earlier this year and were discharged within days. — Read More
Gemini 2.5 for robotics and embodied intelligence
The latest generation of Gemini models, 2.5 Pro and Flash, are unlocking new frontiers in robotics. Their advanced coding, reasoning, and multimodal capabilities, now combined with spatial understanding, provide the foundation for the next generation of interactive and intelligent robots.
This post explores how developers can leverage Gemini 2.5 to build sophisticated robotics applications. — Read More
Real-Time Action Chunking with Large Models
Unlike chatbots or image generators, robots must operate in real time. While a robot is “thinking”, the world around it evolves according to physical laws, so delays between inputs and outputs have a tangible impact on performance. For a language model, the difference between fast and slow generation is a satisfied or annoyed user; for a vision-language-action model (VLA), it could be the difference between a robot handing you a hot coffee or spilling it in your lap. While VLAs have achieved promising results in open-world generalization, they can be slow to run. Like their cousins in language and vision, these models have billions of parameters and require heavy-duty GPUs. On edge devices like mobile robots, that adds even more latency for network communication between a centralized inference server and the robot. — Read More
Boston Dynamics Makes AGT HISTORY With Robots Dancing To “Don’t Stop Me Now” by Queen
Meta’s V-JEPA 2 model teaches AI to understand its surroundings
Meta on Wednesday unveiled its new V-JEPA 2 AI model, a “world model” that is designed to help AI agents understand the world around them.
V-JEPA 2 is an extension of the V-JEPA model that Meta released last year, which was trained on over 1 million hours of video. This training data is supposed to help robots or other AI agents operate in the physical world, understanding and predicting how concepts like gravity will impact what happens next in a sequence.
These are the kinds of common sense connections that small children and animals make as their brains develop. — Read More
The Shape of Things to Come
Amazon ‘testing humanoid robots to deliver packages’: Amazon is reportedly developing software for humanoid robots that could perform the role of delivery workers and “spring out” of its vans.
… The Information reported that the robots could eventually take the jobs of delivery workers. It is developing the artificial intelligence software that would power the robots but will use hardware developed by other companies. — Read More
Walmart and Wing expand drone delivery to five more US cities: Wing, the on-demand drone delivery company owned by Alphabet, is spreading its commercial wings with help from Walmart.
The two companies announced Thursday plans to roll out drone delivery to more than 100 Walmart stores in five new cities: Atlanta, Charlotte, Houston, Orlando, and Tampa. Walmart is also adding Wing drone deliveries to its existing market in the Dallas-Fort Worth area. — Read More
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