A $5.6 billion startup has announced a breakthrough in artificial intelligence, revealing that sufficiently large robot models can autonomously learn to comprehend human video. This development has the potential to address a significant data bottleneck that has long plagued the industry. The startup's findings, which were shared recently, highlight the capabilities of advanced machine learning techniques in enhancing the understanding of visual content. By leveraging large-scale models, the company aims to improve the efficiency and effectiveness of AI systems in processing and interpreting video data, paving the way for more sophisticated applications in various fields. This innovation could transform how machines interact with visual information, ultimately leading to more intuitive and responsive AI technologies.
Physical Intelligence Finds 'Emergent' Bridge Between Human Video and Robot Action
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
China Deploys Humanoid Robots to Enhance Learning in Human Tasks
In an industrial park near Beijing, humanoid robots are being utilized to learn human tasks, such as organizing snacks and folding sheets. These robots, equipped with advanced capabilities, aim to improve their functionality in everyday activities. This initiative is significant as it represents China's commitment to advancing robotics technology and enha...
Qiyuan T1: The First Transformable Personal Robot Unveiled in Shanghai
The Qiyuan T1, the world's first transformable personal robot, was unveiled in Shanghai on July 14. This innovative robot can autonomously switch between a humanoid form and a quadrupedal 'robot dog' form, adapting to various environments without user intervention. This breakthrough is significant as it allows the Qiyuan T1 to navigate spaces that may not...
Transformable Robots Personal Robotics AI Technology
Correction Notice for Research Article on Robot Peer Failures and Student Learning
An erratum has been issued for the research article titled 'Observing a robot peer’s failures facilitates students’ classroom learning' published in Science Robotics. This correction addresses inaccuracies found in the original publication, ensuring the integrity of the research findings. The importance of this erratum lies in its impact on the understand...
Errata
International Research Team Embarks on Greenland Expedition to Study Melting Glaciers
An international team of researchers is set to begin a six-week expedition in Greenland on July 16, 2026, to investigate the rapid melting of fjord glaciers and its implications for the Atlantic Ocean. The study aims to assess how this melting contributes to potential climate tipping points, particularly affecting ocean currents. The research is part of a...
rrs sir david attenborough glaciers melting fjord glaciers
New Quantum Hermite Transform Algorithm Enhances AI and Scientific Computing Potential
Researchers from the U.S. Department of Energy’s Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have introduced a new quantum computing algorithm called the quantum Hermite transform (QHT). This algorithm aims to broaden the scope of problems that future quantum computers can address, part...
AI and Robotics
Nous Research Secures New Funding Talks at $1.5 Billion Valuation for Hermes Agent
Nous Research, the creator of the open-source Hermes agent, is in discussions to secure a new funding round led by Robot Ventures, aiming for a valuation of $1.5 billion. The company is looking to raise at least $75 million, following a previous $50 million Series A funding announced just three months prior. This funding round is significant as it reflect...
AI Startups Venture
The Escalating AI Arms Race in Software Engineering Technical Interviews
The landscape of software engineering job interviews is rapidly evolving due to the increasing use of AI by both candidates and employers. Applicants are employing AI assistants to enhance their performance during remote technical interviews, while companies are countering with AI tools designed to detect such assistance. This dynamic creates a competitiv...
Hiring-trends Interviews Ai-bias
Advancements in Embodied Intelligence: Robots Learning Through Experience
A robot in a warehouse near Austin has fallen for the 4,000th time without assistance, showcasing the progress of embodied intelligence. This technology allows machines to physically interact with the world, fundamentally changing how they learn. Instead of merely processing information, these robots learn through experience, such as understanding gravity...
Embodied Intelligence Robotics AI Technology
KISS Institute Launches BotBall to Enhance STEM Education with Student-Led Robotics
The KISS Institute for Practical Robotics (KIPR) has introduced BotBall, a robotics program designed to foster creativity and critical thinking among students. This initiative emphasizes student-led engineering, allowing participants from elementary to high school to engage in hands-on learning using a standardized kit. The program ensures a level playing...
Autonomous Mobile Robots (AMRs) Educational News
Unitree Announces CMG 2026 Humanoid Robot Combat Competition with Global Reactions
Unitree has released a promotional video for the CMG 2026 Humanoid Robot Combat Competition, scheduled for July 9, 2026. The video showcases advanced humanoid robots engaging in combat with humans, highlighting their physical capabilities and martial arts techniques. The announcement has generated significant global interest, with many viewers expressing ...
RoboDK Launches CAM Software to Reduce Robotic Machining Deployment Time by 40%
RoboDK has introduced its new CAM software, enabling robotic machining programs to be generated directly from CAD files. This innovation, showcased at the Automate Show, promises to reduce deployment time by up to 40%, allowing users to create toolpaths and collision-free motions without manual coding. The software aims to simplify the robotic machining p...
News Robot simulation Software
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
Artificial Intelligence
Physical Intelligence
United States
Physical Intelligence focuses on integrating general-purpose AI with physical systems. The team employs foundation models and reinforcement learning algorithms to enhance robotic manipulation and task execution. Recent advancements include real-time action chunking for large vision-language-action (VLA) models, enabling improved generalization and efficiency. Notable projects address Moravec's Paradox and explore human-to-robot transfer in scalable robotic frameworks.
HERL (Human Engineering Research Lab)
United States
Joint University of Pittsburgh and US Department of Veterans Affairs laboratory conducting rehabilitation engineering research. Develops mobility devices, assistive technologies, and medical-grade products for people with disabilities.
Joanneum Research Assoc (AT)
Austria
Joanneum Research Institute for Robotics and Flexible Production conducts applied R&D in industrial robot systems, production automation and robot safety, offering feasibility analysis, consulting and testing in a robotics solution centre.
St Petersburg National Research U of ITMO
Russian leading research university (ITMO University) specializing in information technology, optical engineering, and photonics. Active research programs in AI, robotics, computer vision, and cyber-physical systems.
Green Hills Software
United States
Independent embedded software provider delivering RTOS, compilers, IDEs, and debuggers for safety- and security-critical systems. Serves automotive, avionics, defence, and industrial domains with certified real-time operating system platforms since 1982.
Scorpion Vision Software (UK)
Norwegian-based 2D and 3D industrial machine vision software platform (marketed under Tordivel AS). Offers sub-pixel and micron-level non-contact measurement, configurable inspection tools, and advanced calibration capabilities without programming.
Acquired Data Solutions, Inc.
United States
Provides systems engineering, embedded software development, automation integration, and cybersecurity services for government and commercial defense clients. Capabilities include OT/IT convergence, edge computing, and mission-critical system integration across a 28-year operational history.
Patten Studio
United States
Patten Studio is an interactive design studio based at MIT Media Lab roots, creating technology-driven art installations and experiential environments for brands and public spaces. Work involves sensing, embedded computing, and responsive physical interfaces, with peripheral relevance to human-machine interaction.
Shenzhen Macrotellect Technology (CN)
Macrotellect develops BrainLink EEG headsets and brainwave sensing devices for consumer and research applications. The company focuses on brain-computer interface technology enabling non-invasive neural signal acquisition and human-machine interaction.
Soul Machines
New Zealand
New Zealand AI company (now in receivership as of February 2026) that developed lifelike digital human avatars powered by large language models for customer service and enterprise deployment. Created Digital Workers and Workforce Connect platforms.
AU Centre for Robotic Vision (ACRV) (AU)
Australia
Australian research centre focused on robotic vision systems, operating under university auspices. Conducts research in computer vision and perception for autonomous robots. Website was inaccessible at time of scrape; inferred from name and known public profile as a vision-focused robotics institute.
Robotic Vision Technologies
US developer of Vision Factory, a 3D machine vision platform enabling industrial robots to locate parts in six degrees of freedom from a single camera image. Targets automated manufacturing lines requiring high-speed, accurate part location without structured environments.
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