Stanford Artificial Intelligence Laboratory
Stanford's flagship AI research lab, founded 1963, advancing ML, robotics, computer vision, and NLP.
Stanford Artificial Intelligence Laboratory (SAIL), founded in 1963, is Stanford University's primary AI research center. SAIL conducts research across machine learning, robotics, computer vision, natural language processing, and multi-agent systems, and in 2025 joined forces with Stanford HAI.
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Contact Stanford Artificial Intelligence Laboratory
WEBSITE
https://ai.stanford.edu/PHONE
204734583085HEADQUARTERS
United States
Company Facts
Founded
1963
Primary Role
Research Institute
Company Size
employees 100-500
Primary Region
North America
Annual Sales
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Funding Stage
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Funding Total
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AIST and Forcesteed Robotics Collaborate on Safety of Indoor Delivery Robots with Physical AI
The National Institute of Advanced Industrial Science and Technology (AIST) and Forcesteed Robotics have conducted joint research on the safety of indoor delivery robots equipped with Physical AI, focusing on risk assessment and mitigation strategies. The findings will be presented in a paper titled "Risk Extraction and Mitigation Strategies for Indoor Delivery Robots with Physical AI Using Generative AI" at the Robotics Society of Japan on September 3, 2026. This research is significant as it addresses the increasing reliance on Physical AI in environments where humans and robots coexist, such as restaurants and commercial facilities. The study emphasizes the importance of accurately recognizing surroundings and making timely decisions to ensure safety, particularly in dynamic settings where human movement and object placement are constantly changing. Looking ahead, AIST and Forcesteed Robotics plan to further investigate recovery times during anomalies, human behavior prediction, and the reliability of recognition results based on insights gained from this research. The focus on ensuring the safe operation of robots equipped with Generative AI in real service environments will be a key area of interest in future presentations.
Humanoid Robot Sector Anticipates Breakthrough Similar to ChatGPT
Recent events in China highlighted advancements in the humanoid robot industry, yet significant challenges remain. The robotics sector is on the cusp of a transformative moment, akin to the impact of ChatGPT in AI. Industry leaders are closely monitoring developments to gauge the potential for rapid growth and innovation. The progress observed in China is crucial as it underscores the ongoing efforts to enhance humanoid robotics capabilities. However, the industry still faces hurdles that could impede widespread adoption and integration into various sectors. The need for improved technology and investment remains a priority for stakeholders. Looking ahead, industry experts will be watching for key innovations and breakthroughs that could signal a turning point for humanoid robots. No further timeline was disclosed at the time of publication.
NEC's Corporate Venture Fund Invests in US Robotics Startup Dexmate
NEC Corporation's venture capital fund has made an investment in US-based robotics startup Dexmate, known for its VEGA humanoid robot and integrated physical AI development platform. This investment, facilitated through the NEC Orchestrating Future Fund, aims to explore the deployment of physical AI technologies across various industries. The significance of this investment lies in the growing interest of technology companies in physical AI systems that can interact with real-world environments. Dexmate's approach addresses challenges in deploying physical AI by integrating sensors, control systems, and training data, thereby simplifying the development and operation of AI-powered robots. Looking ahead, NEC plans to leverage Dexmate's technology alongside its own AI capabilities to explore potential applications across multiple sectors. No further timeline was disclosed at the time of publication.
Financials & Investments Humanoids News artificial intelligence dexmate humanoid robotics
Roberto Carlos Visits Linglong Tire to Launch 'Legendary Journey' with Partners
Roberto Carlos, the official ambassador of Real Madrid, visited Linglong Tire's Zhaoyuan production base, engaging with nearly 900 channel partners during the three-day 'Legendary Journey' event. This occasion marked a significant offline milestone in the partnership established in 2024, showcasing the evolution of brand synergy into a deeper connection. The event is crucial as it highlights Linglong Tire's commitment to integrating sports with manufacturing, reflecting a shared spirit of excellence. Carlos toured the production base, observing intelligent production lines and R&D centers, and expressed admiration for the operations, stating it was more professional than he had anticipated. Looking ahead, Linglong Tire aims to leverage its partnership with Real Madrid to innovate in sports marketing and enhance its global competitiveness. The collaboration signifies a blend of international sports and Chinese manufacturing, setting the stage for future developments in both sectors. No further timeline was disclosed at the time of publication.
Business Manufacturing automotive industry legendary journey linglong tire real madrid
Ocado Group Highlights Decision-Making Over Robots in Warehouse Automation
Ocado Group emphasizes that the future of warehouse automation lies in intelligent decision-making rather than merely increasing the number of robots. As 3PLs, retailers, and e-commerce operators face challenges such as tighter service levels and unpredictable demand, the focus is shifting towards orchestrating operations effectively. Autonomous mobile robots (AMRs) have proven their ability to enhance productivity, but the real challenge is coordinating tasks and workflows seamlessly. The Ocado IQ system exemplifies this shift by continuously evaluating operational factors and adjusting workflows in real-time, ensuring that all aspects of warehouse operations work in harmony. This intelligent orchestration allows for a leaner fleet of robots, reducing congestion and improving overall efficiency on the warehouse floor. The integration of manual and automated processes further enhances visibility and coordination across the operation. Looking ahead, the demand for adaptable automation solutions will grow as 3PLs and retailers navigate complex order profiles and service commitments. The ability to configure automation platforms to meet diverse needs without extensive reconfiguration will be crucial. No further timeline was disclosed at the time of publication.
AMR and AGV Automation Systems and Shuttles Jobs and Training Magazine Features Materials Handling Warehousing
Ollobot's OlloNi SS1 Redefines AI Companion Robots for Emotional Connection
Ollobot's OlloNi SS1 is a new generation of AI companion robots designed to address loneliness and emotional needs in modern households. Unlike earlier models, which were limited in functionality, the SS1 employs proactive interaction and emotional intelligence to provide companionship for various demographics, including the elderly, children, and single professionals. The significance of the OlloNi SS1 lies in its ability to create a sense of presence and emotional support, filling gaps left by traditional communication tools. With the global AI companion market projected to grow from $48 billion in 2026 to $318 billion by 2033, Ollobot's innovative approach positions it at the forefront of this expanding industry. Looking ahead, the evolution of the OlloNi SS1 through over-the-air updates and its integration into family activities will be crucial to its success. As the demand for emotional support in technology increases, Ollobot's focus on familiarity and long-term coexistence may set a new standard for companion robots in the future.
Social-robots Human-robot-interaction Computer-vision Companion-robots Multimodal-ai Ai-robots
BlackBerry's CEO Highlights Robotics as a Rapidly Growing Sector in QNX Software
BlackBerry CEO John Giamatteo announced that robotics is among the fastest-growing sectors within the company's QNX software portfolio during an interview with CNBC. QNX, which is embedded in 275 million vehicles, has a significant backlog of approximately $950 million, with a portion attributed to robotics. The importance of robotics in BlackBerry's strategy is underscored by Giamatteo's remarks on the potential for growth in physical AI applications. He emphasized that the company is focusing on industrial robots, such as robotic forklifts and medical instruments, rather than humanoid robots, indicating a strategic pivot towards sectors with substantial growth opportunities. Looking ahead, BlackBerry's partnership with Nvidia aims to enhance its software capabilities in robotics and industrial applications. Giamatteo expressed enthusiasm for the evolving landscape of robotics, suggesting that the company is well-positioned to capitalize on these advancements. No further timeline was disclosed at the time of publication.
BBC Explores China's Robotics Industry and Its Impact on Global Manufacturing
The BBC recently investigated China's robotics sector, highlighting the significant transformation brought about by over two million industrial robots. This exploration spanned from vocational training environments to active manufacturing facilities, showcasing the extensive integration of robotics in production processes. This development is crucial as it underscores China's pivotal role in the global manufacturing landscape, where the adoption of industrial robots is enhancing efficiency and productivity. The shift towards automation is not only changing how products are made but also influencing labor dynamics and economic strategies worldwide. Looking ahead, it will be important to monitor how these advancements in robotics will continue to evolve and affect both local and international markets. The ongoing integration of robotics in various sectors may lead to further innovations and shifts in manufacturing practices. No further timeline was disclosed at the time of publication.
Over 300 Companies Present Robotics Applications at WRC 2026 Amid Technical Debates
The 11th World Robot Conference held in Beijing Yizhuang featured over 300 companies showcasing robots performing various applications. This event highlighted the advancements in robotics technology and its practical implementations in real-world scenarios. Despite the impressive demonstrations, closed-door sessions at the conference revealed ongoing debates regarding the technical routes for embodied intelligence. This divergence in approaches underscores the complexity and evolving nature of robotics technology. Looking ahead, industry stakeholders will be keen to monitor how these technical discussions evolve and influence future developments in robotics. No further timeline was disclosed at the time of publication.
Microsoft Discloses CVSS 10.0 Vulnerability in Microsoft Entra ID Despite No User Action Required
Microsoft announced a critical vulnerability, CVE-2026-69836, in Microsoft Entra ID on August 20, 2026. The vulnerability, rated CVSS 10.0, allows for remote code execution but has already been mitigated by Microsoft, requiring no action from users. The disclosure is significant as it reflects Microsoft's commitment to transparency regarding security issues in its cloud services. Although users do not need to take any action, the company aims to keep them informed about the security status of their services. Looking ahead, it will be important to monitor how Microsoft continues to handle vulnerability disclosures and whether this approach influences user trust and security practices in cloud services. No further timeline was disclosed at the time of publication.
Introduction to Robotics J. J. Craig — RSF Top 10 Robot Education Textbooks · No. 6
Six of ten benchmark universities teach kinematics from Craig. Frames, transforms and D-H parameters: the language vendor manuals already speak.
Probabilistic Robotics Thrun, Burgard & Fox — RSF Top 10 Robot Education Textbooks · No. 7
An AMR that lost localization broke nothing you can touch. Thrun explains Layer 4 faults: belief, Bayes filters, SLAM. Budget 12-15 hours.
Modern Robotics K. M. Lynch & F. C. Park — RSF Top 10 Robot Education Textbooks · No. 8
The book the field agreed to make free: full preprint PDF, video lectures and open code from the authors. Screw theory and kinematics, taught rigorously.
RSF Top 10 Robot Education Textbooks
Robotics has a canon; robot service does not. Ten books scored on adoption, RSF layer coverage, field value and difficulty, plus six specialist picks.
AI for Science 2026: The Global Race for Scientific Discovery
2026 AI for Science landscape report: WAIC 2026 exhibitor breakdown, MIT Boltz-2 and CMU Coscientist case studies, US/China/EU policy comparison, Anthropic Claude Science, and US academic cautionary views.
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.
Vietnam Robotics Industry Report 2026
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
Train-to-Test Scaling: A Smarter Way to Budget AI Compute
New T2 scaling laws from Wisconsin-Madison and Stanford show that smaller, overtrained models outperform frontier LLMs on reasoning tasks when total compute cost is equal — with direct implications for robotics inference pipelines.
Flexion: The ETH Zurich Robotics Startup Building the Next-Generation AI “Robot Brain” for Embodied Intelligence
Learn how ETH Zurich-backed Flexion is building next-generation AI “robot brains” that enable embodied intelligence and adaptive autonomy for humanoid robots.
CATL's Strategic Stake in Galbot: A New Blueprint for the Humanoid Robotics Race?
CATL’s strategic stake in Galbot signals a new “Energy + Intelligence” model for humanoid robotics, reshaping embodied AI commercialization and scale.
