Stevens Inst of Tech
Private research university in Hoboken, New Jersey with active robotics, AI, and engineering research. Notable for student-built inspection robots, a new School of Computing focused on AI education, and a strong engineering and technology research portfolio.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Marubeni and DEEP Robotics Sign MOU to Accelerate Automation with Quadrupedal Robots
On July 23, 2026, Marubeni Corporation announced a memorandum of understanding with DEEP Robotics to expand the sales of quadrupedal robots in the Japanese market. The collaboration aims to address labor shortages and aging infrastructure in Japan's industrial sector, where autonomous robots can operate in hazardous environments. This partnership is significant as it combines Marubeni's extensive customer network and technical support with DEEP Robotics' advanced AI and motion control technologies. The quadrupedal robots are designed to navigate complex terrains and perform tasks autonomously, offering a solution to Japan's pressing labor issues and safety concerns in industrial settings. Looking ahead, Marubeni plans to leverage both companies' strengths to develop new applications for quadrupedal robots in Japan. The focus will be on sectors such as power, construction, and disaster response, where the deployment of these robots could enhance operational efficiency and safety. No further timeline was disclosed at the time of publication.
Samsung Display and LG Display Introduce OLED Panels for Humanoid Robot Faces
Samsung Display and LG Display launched OLED panels for humanoid robot faces at K-Display 2026 in Seoul. Samsung showcased a 6.9-inch curved OLED capable of displaying expressions and tracking gaze, alongside a 1.3-inch circular OLED integrated into AI toys. LG Display presented a plastic OLED (P-OLED) with a resolution of 1,080-by-520, designed for extreme temperatures, enhancing its suitability for industrial environments. This development is significant as it opens new applications for OLED technology, traditionally used in smartphones and vehicles. The humanoid panels could enhance user interaction in various settings, particularly in guidance, care, and education, where visual communication is crucial. Samsung Display's existing collaboration with Tesla for the Optimus robot highlights the potential market for these innovations. Looking ahead, neither company has disclosed specific customers, pricing, or production timelines for the humanoid panels. However, the technology's adaptability and the established platforms of both companies suggest a promising future in the robotics sector. No further timeline was disclosed at the time of publication.
All News
Anthropic Leads Growth Rate in AI Tools, Microsoft 365 Tops Account Numbers According to Okta Survey
Okta, a U.S.-based identity management service provider, released findings based on anonymized access data from over 20,000 companies regarding the usage of AI tools in enterprises. The survey revealed that Anthropic achieved the highest growth rate among AI tools from June 2022 to June 2026, with a growth score of 100, while OpenAI and Google Workspace followed with scores of 66.9 and 59.8, respectively. The significance of this growth is underscored by the fact that over half (approximately 57%) of companies are utilizing two or more AI platforms simultaneously, indicating a trend towards a tailored approach in selecting optimal AI tools for various applications. This shift highlights the increasing reliance on AI technologies in enterprise settings. Looking ahead, it is noted that from January 2026, Anthropic's enterprise account numbers are expected to grow rapidly, while the growth rates for OpenAI and Cursor may stabilize. No further timeline was disclosed at the time of publication.
Ant Group's Chief Scientist Discusses Building Robots' Vision from the Ground Up
Ant Group's subsidiary, Ant Lingbo, has made a bold decision to abandon existing digital pre-trained models and build a native visual foundation for robots from scratch. Chief Scientist Shen Yujun emphasizes that while traditional visual models focus on image quality and scene recognition, robots require an understanding of how to interact with objects in real-time, necessitating a complete overhaul of training methods. This approach is significant as it addresses the limitations of existing models that cannot process real-world scenarios effectively. The second-generation model has seen a substantial increase in pre-training data from 20,000 hours to 60,000 hours, expanding robot configurations and improving efficiency in training. The new model is built on three technological pillars, including a mixture of experts architecture and a causal unidirectional attention mechanism, which have been developed to meet the demands of the physical world. Looking ahead, Ant Lingbo aims to gather millions of hours of native pre-training data to enhance its models. Shen believes that China will surpass the U.S. in data scale due to its robust hardware supply chain and increased production of robots. No further timeline was disclosed at the time of publication.
Robotics Computer Vision AI Machine Learning
16-Year-Old Evan Booz Develops AI Turtle for Microplastic Detection, Wins $50,000 Scholarship
Evan Booz, a 16-year-old from Canada, has created an AI-powered robotic turtle capable of swimming autonomously to detect microplastics. His innovation earned him the Gordon E. Moore Award at the Regeneron International Science and Engineering Fair in May, along with a $50,000 scholarship. The robotic turtle, inspired by a camping trip where Booz observed a snapping turtle, took about five months to develop. It features an underwater 3D holographic camera and an AI model trained to identify microplastics, achieving a 94% accuracy rate. This technology allows for real-time analysis in water, eliminating the need for time-consuming and costly laboratory sample testing. Booz plans to use the scholarship for his college education in science or engineering and aims to open-source his research to advance microplastic monitoring technology. As the AI turtle quietly navigates lakes, it represents both the curiosity of a young inventor and a critical tool in addressing the urgent issue of microplastic pollution.
AI Robotics Environmental Technology Microplastic Detection Sustainable Innovation
AgiBot and Others Transition to Domestic Chips Amid Rising Costs in Robotics
As Chinese robotics companies ramp up production, domestic chips are increasingly replacing Nvidia's offerings due to cost pressures. On July 22, Wang Chuang, Senior Vice President of AgiBot, revealed that the company has begun integrating domestic chips into its robots, including the 'cerebellum' for joint motion control and communication chips, collaborating with various chip manufacturers. This shift is significant as it reflects a broader trend in the industry where high costs of foreign chips, which can account for one-third of hardware procurement costs, are driving companies like AgiBot and UBTECH to seek local alternatives. UBTECH has even formed a joint venture with domestic chip maker MetaX to focus on the research and mass production of intelligent chips. Looking ahead, the transition to domestic chips is expected to reshape not only supply chains but also the entire cost structure and competitive landscape of the robotics industry. By 2025, Chinese companies are projected to dominate the global humanoid robot market, with AgiBot leading the way with approximately 5,168 units shipped.
Humanoid Robots Domestic Chips Robotics Industry AI Cost Efficiency
Optimus Robots to Train at Internal Academy Before Market Launch
Tesla's Q2 earnings report revealed that the Optimus robots are nearing completion, but the initial units will not be deployed in factories or sold to customers. Instead, they will be utilized at the internal 'Optimus Academy' for data collection and functionality development. The Fremont factory's previous Model S/X production line has been dismantled, and the first generation of Optimus production lines is currently being installed, with production expected to commence 'soon.' This production line is designed for an annual capacity of 1 million units in the long term. Elon Musk acknowledged during the earnings call that Optimus will be Tesla's 'most challenging product to scale for mass production.' Initial production will be slow due to the novelty of the process, but he anticipates a significant increase in output next year, especially after the Texas factory begins operations in 2027. No further timeline was disclosed at the time of publication.
Humanoid Robots AI Robotics Development Manufacturing Technology
CMR and NVIDIA Enhance Surgical Robots with Predictive Capabilities
CMR Surgical and NVIDIA have unveiled a new capability of the Versius Plus surgical robot at the 2026 SRS conference, allowing it to predict post-action scenarios in surgical environments. This advancement marks a shift from mere execution to predictive intelligence in surgical procedures. The ability to foresee changes in the surgical area enhances decision-making for surgeons, potentially transforming the role of surgical robots from simple tools to intelligent assistants. CMR's CTO, Chris Fryer, emphasized the importance of leveraging global surgical data to provide deeper insights and support informed decisions. No further timeline was disclosed at the time of publication. The collaboration utilizes NVIDIA's Cosmos-H-Dreams platform, which refines the Open-H Embodiment dataset, enabling the prediction of anatomical changes based on current scenarios and proposed actions. This innovation represents a significant step towards the realization of AI-assisted surgery.
Surgical Robots AI in Healthcare Medical Technology Robotic Surgery
Jiangsu Leili Addresses Robot 'Fingertip Stiffness' with Innovative Micro Motor Solutions
Jiangsu Leili Electric Motor is tackling the critical issue of mechanical stiffness in humanoid robots, which affects their ability to balance flexibility and stability. Their subsidiary, MINDSYNC TECH, showcased a dexterous robotic hand capable of performing tasks such as calligraphy and operating precision instruments, demonstrating significant advancements in addressing stiffness. The dexterous hand requires multiple micro motors for human-like joint movements. Traditional iron-core motors are bulky and inefficient, while hollow cup motors offer higher power density and lighter weight, making them essential for high-end dexterous hands. Jiangsu Leili's subsidiary has developed a full range of hollow cup motors and achieved automated production, enhancing their capabilities in gearboxes and precision gear transmission. Currently, the price of a single dexterous hand ranges from 10,000 to 60,000 yuan. MINDSYNC TECH's General Manager, Wang Wenwei, noted that most humanoid robots in factories still use basic two-finger grippers, limiting their functionality. The industry anticipates that large-scale industrial applications of dexterous hands will take 1-2 years, aligning with the maturation of humanoid robot cost curves.
Robotics Micro Motors Dexterous Manipulation Industrial Automation
AI's Final Mile: Transitioning from Demonstration to Real-World Application
At the WAIC 2026, while humanoid robots showcased impressive feats, a closed-door discussion titled 'Chain π Roundtable' addressed the gap between AI technology demonstrations and real-world applications. Wu Liming, Chairman of Huamao Technology, highlighted that Moore's Law has failed beyond 5nm, with chip performance now limited by physical constraints. Advanced packaging and optical interconnects are crucial, with advanced packaging sales expected to surpass traditional packaging by 2025. The conversation also introduced the concept of 'native AI in factories' by Wei Jie, Chairman of Shanghai Jingzhi. He noted that many industrial AI projects excel in labs but struggle in factories due to issues like data fragmentation and insufficient validation scenarios. He emphasized that AI must grow from real manufacturing data to ensure operational stability. The roundtable concluded with three key insights: the bubble in computing infrastructure will not burst before fall 2028, the speed of AI adoption depends on data loop iterations, and the focus should be on profitability rather than trends. The overarching theme was the need for AI to operate sustainably and profitably in real environments, underscoring the importance of stable revenue for technology development.
Industrial AI Data Integration Advanced Packaging Healthcare AI Robotics
Leave a comment