Finnish developer of 3D manufacturing simulation and robot programming software. Visual Components platform enables offline robot programming, production layout simulation, and digital twin modelling for factory automation planning.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Amazon's Zoox has voluntarily recalled 105 of its robotaxis to rectify a software issue that caused the vehicles to fail in detecting heavy smoke. This recall follows an incident in Las Vegas where an unoccupied Zoox robotaxi drove into an active emergency fire scene obscured by smoke, prompting the company to notify the National Highway Traffic Safety Administration (NHTSA) on July 8. The significance of this recall lies in the growing scrutiny on autonomous vehicles, particularly regarding their interactions with first responders. NHTSA Administrator Jonathan Morrison has highlighted a pattern of driverless vehicles interfering with emergency operations, urging developers to prioritize solutions to these critical safety concerns. Zoox's incident marks a notable example of the challenges faced by autonomous vehicle technology in real-world scenarios. Looking ahead, Zoox is under pressure to enhance its software capabilities to prevent similar occurrences. The company has previously issued recalls for other software-related issues and is competing with industry leaders like Waymo. No further timeline was disclosed at the time of publication.
Zoox has announced a software recall following an incident in June where one of its robotaxis struggled to navigate a smoke-filled emergency scene. The Amazon-owned company has dispatched a software update to its fleet of 105 vehicles, enhancing the detection and response capabilities for heavy smoke in emergency situations. No injuries were reported during the incident, which involved a Zoox robotaxi encountering heavy smoke that obscured an active fire scene. This recall highlights significant concerns regarding the ability of autonomous vehicles to respond appropriately to emergency situations. The National Highway Traffic Safety Administration (NHTSA) has emphasized the need for self-driving car companies to address functional insufficiencies in their systems. The incident prompted Zoox to conduct an investigation and engage with NHTSA regarding the severity and root causes of the issue, leading to the software update. Looking ahead, Zoox is expanding its testing in cities like Las Vegas and San Francisco, with plans for a commercial launch pending NHTSA approval for exemptions from certain safety standards. The company has faced recalls in the past, indicating ongoing challenges in ensuring the safety and reliability of its autonomous vehicle technology. No further timeline was disclosed at the time of publication.
Transportation autonomous vehicles robotaxis self-driving cars zooxA US technology company, Grid Dynamics, has formed a strategic partnership with South Korea's Doosan Robotics to promote the use of Physical AI in manufacturing and logistics. This collaboration will provide Doosan's industrial collaborative robot customers with a comprehensive software stack and integration services, facilitating advanced automation tasks such as complex object inspection and variable component assembly. The significance of this partnership lies in its potential to expedite the deployment of AI-powered robotic systems, thereby broadening the applications of Physical AI within industrial operations. Doosan Robotics, a leading manufacturer of collaborative robots, offers a range of models designed for various tasks, including the lightweight A Series and heavy-duty H Series, which can handle payloads up to 55 pounds. Looking ahead, the integration of Grid Dynamics' GAIN Platform with Doosan's cobots is expected to enhance automation capabilities, particularly for complex tasks that traditional robotics struggle with. No further timeline was disclosed at the time of publication.
AI and Robotics InnovationMonumental, a construction robotics provider based in Amsterdam, has successfully raised $32 million in Series B funding. This financing will facilitate the company's expansion into the U.S. market this year and enhance the capabilities of its robots beyond bricklaying. The significance of this funding lies in Monumental's innovative approach to construction, where it acts as a subcontractor, allowing contractors to pay for completed walls instead of owning the robots. This model mitigates financial and technical risks, addressing labor shortages by enabling skilled workers to focus on higher-value tasks while robots handle repetitive bricklaying. Looking ahead, Monumental aims to adapt its technology to the fragmented U.S. construction market, which faces a shortage of 200,000 to 400,000 workers monthly. The company plans to leverage its experience in Europe to tailor its deployments to local building codes and practices, ensuring a smooth integration into existing workflows. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Construction Design / Development Financial InvestmentsIndustrial automation has significantly changed physical production, yet the service layer remains largely manual. Maintenance requests still require human coordination, consuming valuable operational time. AI agents are now emerging to automate this service layer, handling unstructured requests and integrating with various systems to streamline operations. This shift is crucial as it allows organizations to redirect skilled labor from administrative tasks to more strategic work. By automating the intake, triage, and coordination processes, AI agents enhance efficiency and reduce the burden on human operators. The ability to manage requests end-to-end marks a significant advancement in operational capabilities. Looking ahead, the continued development of AI agents in the service layer will be essential for organizations aiming to improve productivity and responsiveness. As these technologies evolve, they promise to further integrate with existing systems and transform how service operations are managed. No further timeline was disclosed at the time of publication.
Automation Computing ai agents artificial intelligence automation chatbotsRecent trends in the robotics industry indicate a shift from mere mobility to operational intelligence, particularly in humanoid robots. Companies are now focusing on practical applications such as tool handling and assembly, highlighting the importance of force sensing technology. As robots engage in physical tasks, understanding the force exerted becomes crucial for effective operation. This transition underscores the growing significance of six-dimensional force sensors, which are evolving from optional components in industrial robots to essential infrastructure for next-generation intelligent robots. The recent funding rounds exceeding 100 million yuan reflect a broader interest from both traditional investors and state-owned enterprises, signaling a pivotal moment in the industry's development. Looking ahead, the demand for comprehensive sensing, control, and manufacturing infrastructure will likely increase as the humanoid robotics sector matures. The complexity of enabling robots to perform sustained tasks, such as assembly and material handling, will challenge developers to innovate beyond flashy capabilities and focus on the intricate details that drive commercialization.
Humanoid Robots Force Sensing Technology Industrial Automation Robotics InnovationSince the World Cup began last month, over 600 drones have been seized by federal law enforcement for flying too close to tournament venues. These seizures mark the start of investigations into whether drone operators violated airspace regulations or posed a threat. To aid these investigations, SkySafe has partnered with Cellebrite to combine drone detection and digital forensics. This partnership is significant as it addresses the growing role of drones in criminal activities. SkySafe's drone detection technology will work alongside Cellebrite's forensic capabilities to provide law enforcement with crucial evidence. SkySafe CEO Grant Jordan emphasized the importance of integrating historical data about drone activities with forensic evidence to strengthen investigations. Looking ahead, the collaboration aims to streamline the investigative process for law enforcement agencies. By merging real-time data from seized drones with SkySafe's extensive database, investigators can access vital information regarding drone ownership and flight history. No further timeline was disclosed at the time of publication.
Anti-drone technology C-UAS Drone News Drone News Feeds drone security Featured – Safety and SecurityMoSense, a company specializing in multimodal tactile solutions for robotics, has successfully completed an angel funding round worth several million yuan. Investors include Sequoia China, Hillhouse Capital, and Zhiyuan Robotics. The funds will primarily accelerate research and development, team expansion, computational power investment, and production testing system establishment. Founded in May 2026 and headquartered in Shanghai, with a research center in Shenzhen, MoSense focuses on developing a comprehensive multimodal tactile perception system for robots. The company aims to enhance robots' environmental perception capabilities, which are crucial for their deployment in complex real-world scenarios such as industrial manufacturing and logistics. Looking ahead, MoSense plans to commercialize its multimodal tactile solutions across various industries beyond humanoid robotics. The company is developing a tactile feedback system that integrates multiple sensory modalities, which is essential for improving robots' interaction with their environments. No further timeline was disclosed at the time of publication.
Thomas Genestar, managing director of western Europe at Exotec, emphasizes the necessity of automation and AI in logistics due to the e-commerce boom. He identifies resilience, reliability, and operational continuity as critical pillars influencing supply chain strategies for 2026 and beyond. Genestar highlights the growing adoption of Goods-to-Person (G2P) solutions, which enhance warehouse efficiency by delivering items directly to operators. This innovation reduces unnecessary movement, increases task consistency, and minimizes physical strain on workers, addressing the significant costs associated with non-automated warehouses. Additionally, he notes the shift from traditional forecasting to AI/ML models that allow for dynamic demand sensing, enabling organizations to better align production with demand. This evolution supports more sustainable and resilient supply chain practices, including improved reverse logistics inspired by e-commerce return models. No further timeline was disclosed at the time of publication.
Features Logistics ai automation circular logistics demand sensingA new robotic hand has been developed that can switch between multiple grippers using just one motor. This innovation addresses the need for robots to handle a wide variety of objects across different environments, including factories and households. The ability to manage diverse objects with a single motor reduces the complexity associated with traditional robotic hands, which typically rely on multiple motors and intricate control systems. This advancement not only lowers the weight and cost of robotic systems but also minimizes the risk of failures and simplifies control mechanisms. As the demand for adaptable robotic solutions grows, this new technology could significantly impact various sectors. Future developments may focus on enhancing the versatility and efficiency of robotic hands, although no further timeline was disclosed at the time of publication.
RoboticsA 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.
At Automate 2026, the Pittsburgh Regional Alliance convened nine robotics firms — most spun out of Carnegie Mellon — spanning materials, perception and AMRs.
This week in robotics: AGIBOT declares Deployment Year One with 5 platforms and 8 AI models at APC 2026, Physical Intelligence’s π0.7 solves unseen tasks, TARS raises a record $455M, and Siemens deploys humanoids in live factory operations. April 13–17, 2026.
Vision-based tactile sensing (VBT) is emerging as the critical missing piece for Tesla Optimus dexterous hands. This briefing covers the technology, six global milestones, a ten-company competitive landscape, and the Chinese startup ecosystem — including PaXini, Daimon Robotics, DouDong, WeiTi and QianJue.
HEIS 2026 vs. global robot standards: how China's humanoid AI framework compares to ISO 10218, ANSI/A3 R15.06-2025, and the EU AI Act across safety, cybersecurity, and certification.
How the cost equation of modern warfare has inverted: a $500 AI-guided drone now rivals a $2 million precision missile in tactical effect. Part One of the Future Warfare Series examines the unit economics, supply chain realities, and venture capital forces reshaping defence procurement — from Ukraine's 1.7 million FPV drones to Anduril's $30 billion factory-as-weapon bet.
How OpenClaw's digital AI agent pattern is revolutionizing physical robotics through natural language control, ROS 2 middleware, and edge AI hardware—making robots reprogrammable through software instead of mechanical retooling.
Space robotics transforms in 2026 as Starship cuts launch costs 96%, AI enables autonomy, and satellite servicing demand explodes. The breakout year explained.
The SUNNY-T2000 signals a shift in heavy cargo UAVs, showing how two-ton unmanned aircraft are reshaping regional and industrial air logistics.
iREX 2025 revealed Asia’s dominance in industrial robotics, with Japan, China, Korea, and Taiwan shaping the global automation supply chain far beyond humanoid hype.
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