A single destination for timely, editor-curated robotics news from around the world.
Nanjing is set to host a robot conference that will not focus on performances but will instead emphasize the importance of welding training and the craftsman think tank. This shift in focus aims to enhance practical skills and knowledge in the robotics sector. The decision to prioritize welding tra...
Mecka has successfully raised $60 million in a Series B funding round led by Sequoia Capital, with participation from Nvidia, Microsoft’s M12, Qualcomm Ventures, and Samsung. This funding, announced on October 7, aims to bolster Mecka's efforts in gathering human demonstrations for training robot mo...
X Square Robot's TwinDEX has successfully completed a 24-step chemistry experiment using a unique combination of a wearable exoskeleton and a three-finger hand. This achievement is notable as the policy governing the robot's actions was trained solely on a few hundred demonstrations that did not inv...
The rapid increase in robot model parameters has not been matched by the availability of high-quality physical interaction data. Current compliant data in China stands at only 500,000 hours, while commercial deployment requires tens of millions of hours, resulting in a gap exceeding 99%. The China A...
On September 23, Chen Pu, Vice President of Product Development at Yuan Ke Vision, highlighted the importance of high-quality real data for robot training during a seminar in Beijing. He emphasized the need to elevate data from 2D to 4D and improve precision from centimeter to sub-millimeter levels...
On September 23, Mifengpai launched a global initiative to crowdsource data for robot training, showcasing over 50,000 real environments and 5,000 tasks. The event highlighted the need for extensive data on everyday actions, which are crucial for training robots but have not been systematically reco...
Shangpin Home, in collaboration with Tangyuan Technology, has launched the WorldSimReady-Home simulation dataset aimed at addressing the challenges of robotic training in complex home environments. This open-source dataset includes 100,000 square meters of high-fidelity home scenes, 10,000 interacti...
Kinetic Blocks, a startup based in Oslo, has launched a beta version of a marketplace dedicated to the buying and selling of training data for humanoid robots. This platform became available on September 1, following months of development in collaboration with a select group of data suppliers and ea...
On September 1, Oslo-based startup Kinetic Blocks introduced a gated beta of a marketplace tailored for the buying and selling of humanoid training data. This platform aims to streamline the traditionally slow and complex process of dataset procurement by replacing bilateral licensing deals with sta...
Micro1, a data-labeling startup, has seen its gross annual run rate increase from $100 million to $500 million in just eight months, driven by the high demand for unique AI training data. The company retains about 60% to 70% of this figure, resulting in a net annual run rate between $150 million and...
NVIDIA and LG Electronics have set a new benchmark in robot training data, aiming for 100,000 hours by year-end. This initiative was announced during a visit by NVIDIA's Senior Director of Omniverse and Robotics Marketing, Min-San Huang, to LG's Yangjae R&D Center in Seoul, following a strategic par...
LG Electronics is enhancing its collaboration with Nvidia to expedite the creation of training data for humanoid robots. This initiative follows a memorandum of understanding signed by LG Group Chairman Koo Kwang-mo and Nvidia CEO Jensen Huang, aimed at expanding cooperation in physical AI and mobil...
Ropedia has announced the successful completion of a $22 million pre-Series A funding round, bringing its total funding to $30 million. The investment will be utilized to scale HOMIE, a lightweight, head-mounted device designed to capture first-person human movement and spatial context, which is ess...
Robots are becoming more visible in public spaces, captivating onlookers. However, they still lack the versatility needed for tasks in kitchens or factories, primarily due to a significant data bottleneck. Similar to human learning, robots acquire skills through experience, but the process of physic...
MIT has introduced SceneSmith, a system utilizing AI agents to generate realistic 3D environments for robot training. This innovation addresses the challenge of providing diverse and rich simulation content, which is crucial for robots to learn effectively. By employing a vision-language model, Scen...
In a warehouse in San Leandro, California, a worker is participating in an experiment that combines a data collection helmet with EEG sensors to train robots. This collaboration between Encord and Zander Labs aims to address the scarcity of real-world training data for physical AI, which is a signif...
AI agents have developed the SceneSmith system, which creates realistic 3D environments such as kitchens and hotels for robot training. This innovative approach allows robots to simulate everyday tasks, enhancing their operational capabilities. The significance of this development lies in its poten...
MIT and the Toyota Research Institute have introduced SceneSmith, a system that utilizes AI agents to create realistic 3D environments for robot training. This innovation addresses the significant challenge of generating diverse simulation content, which is crucial for teaching robots various tasks...
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximat...
DKV Mobility is launching a new Tech Hub in Porto, Portugal, aimed at expanding its access to data and AI talent. This initiative is part of a broader strategy to enhance the development of data-driven digital products and services in areas such as refueling, charging, and fleet management. The est...
Teradyne, Inc. has unveiled its Titan™ HP platform, which features advanced burn-in capabilities tailored for high-power AI and automotive devices. This innovative system allows for per-device thermal control and realistic workload testing, optimizing reliability stress functions and reducing costs...
Renesas Electronics Corporation has launched its first family of low-voltage 100V enhancement mode GaN-based discrete power transistors. This new lineup includes models RTP100E005G1FL, RTP100E2P6G1FL, RTP100E1P8G1FL-DSC, and RTP100E1P2G1FL-DSC, designed to deliver ultra-fast switching speeds and imp...
German defense startups Helsing and Stark Defence are advancing in the development of attack drones. The German government announced plans to initiate training for the army on these new drones starting in November. This training is significant as it marks a step forward in enhancing the capabilitie...
Ukraine is experiencing a surge in Russian attacks on its data centers, prompting urgent calls for improved underground networks and enhanced anti-ballistic and counter-drone capabilities. Recent strikes, including a drone attack on Kyivstar's headquarters and Vodafone Ukraine's data center, highlig...
Efficient Computer has announced it raised over $97 million in Series B funding, achieving a valuation of $650 million. This funding will support the mass production of its Electron E1 processor, which boasts a 10 to 100 times improvement in energy efficiency for AI applications. The company aims to...
Researchers have projected that electricity demand from AI data centers could reach 1% of global consumption by 2030. This significant increase highlights the growing reliance on AI technologies and the infrastructure needed to support them. The implications of this projection are substantial, as c...
Innodata Inc. has inaugurated a new laboratory dedicated to capturing motion data essential for training humanoid robots. This facility aims to address the critical shortage of real-world interaction data that robotics teams face, as highlighted by CEO Rahul Singhal. The lab will also validate the p...
As the complexity of AI and data center devices increases, particularly with multi-chiplet designs and power envelopes reaching thousands of watts, the need for effective testing has become critical. Testing each device under real-world conditions is essential to ensure reliability and performance i...
On September 28, the Luohu District of Shenzhen announced the launch of the first Luohu Cup, an integrated program for humanoid robot football competitions and training, held at Cuiyuan Middle School. This initiative, organized by the Luohu District Education Bureau and supported by Zhiyin Technolog...
Niantic Spatial has launched its Places Library, providing robotics developers with a catalog of 100 real environments for training and evaluation. The assets, available as USDZ files, include two representations for each environment: a Gaussian splat for visual appearance and a mesh for collision d...
Asimov has announced the open-source release of the training code for its humanoid robot's walking capabilities. This initiative, revealed on September 25, allows developers to inspect and modify the locomotion policy of Asimov 1, providing a foundation for adapting the robot's controller to differe...
DeepSeek has introduced the DSec platform, a sandbox infrastructure tailored for extensive agent training. This innovative system integrates various sandbox types, including function-call, container, microVM, and full-VM sandboxes, while effectively managing their lifecycle alongside reinforcement l...
EagleNXT has successfully delivered nine eBee VISION drone kits to the U.S. Army’s National Training Center located at Fort Irwin, California. This shipment fulfills an order announced in April 2026 and marks a significant step in the company's commitment to domestic production of drones and sensors...
On September 23, it was reported that China has successfully launched key components for an orbital datacenter. These components include on-board AI computing capabilities, cloud-native satellite software, and advanced 100 Gbps-class laser communication links, developed through multiple concurrent p...
Recent unsealed documents from The New York Times' copyright lawsuit against OpenAI and Microsoft reveal that executives from both companies privately referred to their AI training methods as theft. The filings allege that the companies scraped paywalled content without detection, creating extensive...
Hygon Information Technology is preparing to launch a new chip aimed at physical-world applications, including robotics. This marks a significant shift from the company's current focus on data centers, as reported by Chinese media. The new chip, an iteration of the CPU1000 series, is designed to fu...
The Japanese government is partnering with major machinery manufacturers to gather data for machine learning applications focused on physical AI, including autonomous robots. This initiative involves assigning unique IDs to individual factory equipment to facilitate data collection across various pr...
The US Marine Corps has released a video showcasing training exercises with Skydio's X2D drone, highlighting its integration into military operations. This small drone is utilized for reconnaissance missions, allowing Marines to gain essential skills in operating UAVs effectively. The significance...
A research team led by Professor Daehee Park at DGIST, in collaboration with KAIST, has developed an innovative AI training method. This technique allows a single compact AI model to predict the movements of nearby individuals while planning safe navigation paths for robots, effectively minimizing p...
At the upcoming 2026 INTERGEO event in Munich, AIVE Systems will showcase its AI-driven software that simplifies the creation of georeferenced 2D maps from drone imagery. This innovation targets users who require geographic context without needing intricate 3D models, expanding its applications beyo...
The FirstEnergy Foundation has awarded a $15,000 grant to Warren County Community College to enhance drone training for educators and police officers. This funding will support training for 20 high school STEM teachers and 10 police officers, preparing them for the FAA's Part 107 Remote Pilot Certif...
Rui Erman has launched a data training facility in Changzhou, equipped with 150 robots capable of generating 2GB of raw data per minute. This facility features two main areas: a basic motion training zone for fundamental robotic actions and a scenario application area designed for diverse operationa...
Xiaomi has open-sourced the Xiaomi-Robotics-U0, an autoregressive embodied world foundation model featuring approximately 4 billion parameters and full-scale weight lines of around 38 billion. This release includes training and inference tools designed to enhance robotic applications. The significa...
Emerald AI, Google, and NVIDIA have announced the formation of the AI Energy Management Alliance (AEMA), aimed at advancing data centers that can dynamically manage electricity usage based on grid conditions. This initiative seeks to enhance AI infrastructure by enabling more efficient energy use, u...
Rhoda AI has reported enhancements in industrial manipulation capabilities through scaled web-video pretraining, as detailed in a study released on September 10. The research tested various model sizes, achieving completion rates of 3.7%, 65.0%, 75.3%, and 84.7% in under 100 seconds for tasks like u...
Wall Street is evaluating the potential effects of a slowdown in AI model development on data center investments. Companies like Oracle, GE Vernova, and Caterpillar have heavily invested in AI infrastructure, but recent proposals for a slowdown have led to stock declines across the sector. The sign...
On September 10, 2026, at the GEIA GBA 2026 exhibition in Shenzhen, YeeGooAI publicly launched EgoEasy, a lightweight data collection system designed for producing billions of hours of real-world data for embodied intelligence. The lightweight version is priced at 1499 Yuan, while the complete versi...
Mecka AI, a startup focused on collecting and analyzing human motion data for training humanoid robots, is nearing a funding round led by Sequoia Capital at a valuation of approximately $500 million. This new financing follows a $60 million round raised just three months prior, led by Framework Vent...
Qualcomm Technologies Inc. has entered into a collaboration with Amazon to create customized silicon for large-scale AI data centers, focusing on AI inference. This partnership aims to enhance data center infrastructure by improving computing and connectivity capabilities, as highlighted by Qualcomm...
On September 10, Gaode launched ABot-Earth 0.7, a 3D native city world model covering 196 countries and regions. This model leverages two decades of accumulated spatiotemporal data, including trillions of data points from roads, buildings, and user interactions. The significance of this data is unde...
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