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Exoskeleton Report
Exoskeleton Report operates an independent online platform and media resource cataloging exoskeletons and wearable robotics, providing news, directories of companies/organizations, research paper archives, standards/regulations info, editorials, and classification by type (passive/powered), body support area, and industry (medical, industrial, military, research).
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Factorial Energy and Tulip Tech Achieve 30% Flight Range Increase with Solid-State Batteries
Factorial Energy, based in Boston, and Tulip Tech from the Netherlands have transitioned from flight testing to the commercialization of lithium-metal UAV battery packs. Announced on July 13, 2026, their strategic partnership aims to expedite the deployment of solid-state and lithium-metal batteries for advanced drones, with initial tests showing over a 30% increase in flight range without engineering optimizations. This collaboration is significant as it addresses the growing demand for high-endurance UAVs across commercial, industrial, and defense sectors, with the global UAV market projected to exceed $160 billion by 2034. Factorial emphasizes that energy storage is a critical bottleneck affecting mission radius, payload, and fleet economics, making their advancements crucial for future drone capabilities. Looking ahead, the partnership establishes a framework for joint customer engagement and a roadmap for volume production. No further timeline was disclosed at the time of publication, but the companies are moving swiftly from testing to commercialization, indicating a strong potential for future developments in UAV battery technology.
battery technology Drone News Drone News Feeds drone parts News $160 billion UAV market
Waze Introduces AI-Driven Features and Customization Enhancements for Users
Waze, the navigation app owned by Google, is launching new AI-powered features and customization options. These updates include conversational reporting of road changes and personalized navigation, utilizing Google’s Gemini AI assistant to enhance user experience and compete with services like Apple Maps. The introduction of personalized navigation allows Waze to suggest routes based on a user's trip history and traffic patterns, catering to individual preferences such as highway driving. Users can opt for alternate routes or disable personalization if desired. This feature is currently being rolled out globally on both Android and iOS platforms. Additionally, Waze is launching a Motorcycle mode that leverages AI to provide two-wheeler-specific routes and hazard alerts, with availability in several countries including Argentina and Brazil. The ability to report road updates conversationally is also being implemented, enhancing user interaction with the app. No further timeline was disclosed at the time of publication.
AI Apps Google Maps navigation waze
Harbin Institute of Technology Professor Establishes PHANES AI to Advance Tactile Robotics
Professor Yang Shuo from Harbin Institute of Technology (Shenzhen) has founded PHANES AI, focusing on human data, tactile perception, and world model research. The startup aims to enable humanoid robots to perform agile full-body movements. A key challenge identified is the gap in current training data, where visual cues do not capture the tactile feedback necessary for successful robotic operations. This initiative is significant as it addresses the limitations of existing robotic training methodologies, which rely heavily on visual data without incorporating tactile information. Recent studies, including NVIDIA's EgoScale, highlight the importance of first-person human operation data in training robots for complex tasks. By leveraging large amounts of human data combined with minimal real-world data, PHANES AI seeks to enhance the success rate of robots in intricate operations. Looking ahead, PHANES AI plans to develop innovative methods for collecting and scaling tactile data through its EgoTouch system, which integrates visual and tactile information. The startup's approach aims to bridge the gap between visual perception and physical interaction, ultimately improving the capabilities of humanoid robots in real-world applications. No further timeline was disclosed at the time of publication.
Humanoid Robots Tactile Perception Robotics AI Data-Centric AI
WTWH Media Transforms and Rebrands as Arrowfly to Enhance B2B Engagement
WTWH Media, the parent company of The Robot Report, has officially rebranded as Arrowfly. This change reflects its evolution from a specialized trade publisher to a comprehensive B2B media, events, and marketing entity. Arrowfly aims to connect hard-to-reach professional decision-makers with trusted journalism and industry intelligence across three key sectors: Engineering, Healthcare and Life Sciences, and Food, Retail, and Hospitality. The rebranding is significant as it positions Arrowfly to better serve professionals through its extensive portfolio, which includes over 40 vertical media brands and more than 45 industry events. The company emphasizes that while its name and visual identity have changed, its commitment to editorial independence and community engagement remains steadfast. This transformation is designed to strengthen the connections within its professional networks and enhance the overall experience for its audience. Looking ahead, Arrowfly is poised for growth and expansion, with a focus on maintaining the trust it has built over the years. The leadership, including CEO Matt Logan, highlights the importance of editorial authority and community reliance in driving decision-making. No further timeline was disclosed at the time of publication.
Business Resources News Press Release Arrowfly WTWH WTWH Media
Om AI Launches VLX Series for Physical AI with Unique Streamlined Architecture
Om AI has introduced the VLX series, the world's first edge-based streaming multimodal model for physical AI, designed to integrate continuous perception, precise localization, and decision-making. This innovative architecture, which emerged from years of focused development, positions Om AI at the forefront of the physical AI sector, which has seen over $6.4 billion in funding in the first quarter of 2026 alone. The significance of the VLX series lies in its ability to provide a cohesive framework that allows various physical devices, such as robots, drones, and security cameras, to transition from passive execution to active scene adaptation. This shift is crucial as the industry moves from digital AI to physical AI, with a growing emphasis on real-world applications and the need for robust, responsive systems. Looking ahead, the industry is expected to witness further advancements in physical AI, particularly as the demand for edge-based intelligent systems increases. Om AI's commitment to developing the VLX series reflects a strategic response to the evolving landscape, with no further timeline disclosed at the time of publication for upcoming milestones or product releases.
X Square Robot Develops Integrated Stack for General-Purpose Robotics
X Square Robot, a Chinese company focused on embodied AI, is pioneering an integrated stack for general-purpose robots. This stack combines data learning, a world model for predicting physical changes, and an action model that integrates perception, planning, reasoning, and decision-making. The company emphasizes the importance of quality interaction data over sheer quantity, utilizing its Universal Manipulation Interface (UMI) to enhance data collection. The significance of X Square Robot's approach lies in its potential to unify various aspects of robotic intelligence, addressing the fragmented nature of current systems. By prioritizing interaction quality and establishing a closed inspection loop for data validation, the company aims to create a more effective learning environment for robots. This method not only reduces costs but also enhances the reliability of the training data, which is crucial for developing general-purpose robots capable of performing diverse tasks. Looking ahead, X Square Robot's WALL-WM world model represents a shift towards event-based action prediction, allowing for more coherent and context-aware robotic behavior. As the company continues to refine its models and data collection methods, the broader robotics community will be watching for independent validation of its results and the potential implications for the future of general-purpose robotics.
Home-robots Type-sponsored Large-language-models Embodied-intelligence Ai-robots Robot-learning
DJI Launches AP100 Parachute for Enhanced Safety of Matrice 400 Drone
DJI has unveiled the AP100 Parachute, a new safety accessory for its Matrice 400 enterprise drone, aimed at protecting the aircraft during emergencies. This parachute system, weighing approximately 935 grams, helps mitigate the impact of in-flight failures by safely lowering the drone to the ground, thus safeguarding valuable payloads and minimizing risks to people and property below. The introduction of the AP100 is significant as it allows the Matrice 400 to comply with safety regulations set by the European Union Aviation Safety Agency and the UK Civil Aviation Authority. This feature is particularly beneficial for organizations operating internationally, as it enhances operational safety and meets specific classification requirements for various missions, including beyond visual line of sight operations. Looking ahead, operators interested in C6 or UK6 certification for STS-02 missions will need to acquire the DJI Matrice 400 (C6) Worry-Free Plus Combo, which includes the AP100. No further timeline was disclosed at the time of publication.
News
Mistral AI Introduces Robostral Navigate for Autonomous Robotic Navigation
Mistral AI has launched Robostral Navigate, the first AI model specifically designed for robotic navigation. This marks a significant shift for the French company, which has previously focused on large language models, as it ventures into Physical AI. The goal is to enable robots to understand natural language instructions, interpret their surroundings using a standard RGB camera, and plan routes without relying on complex sensor infrastructures. The introduction of Robostral Navigate is important as it simplifies the navigation process, traditionally reliant on multiple technologies like LiDAR and depth cameras, which are costly and complex to integrate. By utilizing only RGB images and natural language commands, Mistral AI's approach could significantly reduce costs for robot manufacturers. An RGB camera is much cheaper than industrial LiDAR sensors, making this technology more accessible. Robostral Navigate operates on a model with 8 billion parameters, balancing computational power and operational efficiency. This size allows for faster execution on embedded platforms with limited resources, crucial for timely navigation decisions. Mistral AI trained the model on nearly 400,000 trajectories across over 6,000 simulated environments, showcasing its potential for real-world applications. No further timeline was disclosed at the time of publication.
À la une IA Industrie Robotique AMR benchmark R2R-CE
New Soft Mechanical Force Sensor Enables Instant Touch Detection in Robotics
Researchers from the National University of Singapore have developed a soft mechanical force sensor, named ME-SOFS, which allows robots to detect touch and respond instantly without electronics. This innovation transforms applied force into fluid flow, activating soft robotic actuators and creating a fully mechanical sensing-to-action process. The ME-SOFS sensor, made entirely from flexible materials, eliminates the need for traditional electronic sensors, reducing complexity and potential failure points. Its design is particularly beneficial for soft robots operating in extreme environments, such as underwater or inside the human body, where electronic systems may fail. Future applications of the ME-SOFS sensor include integration into soft robotic systems, such as a glove that measures grasping forces and a haptic pad for touch feedback. This technology could significantly enhance prosthetics and human-machine interfaces. No further timeline was disclosed at the time of publication.
AI and Robotics
The Importance of Nearshore Call Centers in Supporting Robotics and Automation
Robotics and automation are transforming various sectors, including manufacturing, healthcare, and logistics. While these technologies enhance efficiency and reduce costs, they still require human intervention for troubleshooting. Nearshore call centers have emerged as essential support systems, providing real-time assistance for complex technical issues that automated systems cannot resolve. As businesses increasingly adopt automation, the need for effective customer support becomes critical. Nearshore call centers offer a cost-effective solution, delivering high-quality support that enhances customer experience. These centers facilitate smoother communication and faster response times due to their proximity and cultural familiarity, ensuring that customers receive the personalized assistance they need when unexpected issues arise. Looking ahead, companies must balance operational efficiency with customer satisfaction. The role of nearshore call centers will continue to be vital in maintaining service standards, offering multilingual support, and ensuring that customers can easily access help. No further timeline was disclosed at the time of publication.
Business Communications artificial intelligence automation business automation contact centers
CONSTRUCTION ROBOTICS | FUTURE HORIZONS: 2025–2030 & BEYOND
Construction robotics is entering its decisive decade. Autonomous jobsites, swarm coordination, humanoid integration, and a potential $60 billion market reshape every strategic decision in the industry.
ROBOTTODAY WEEKLY May 11 - 15, 2026
This week in robotics: Figure AI's humanoids hit a 24/7 nonstop autonomous work milestone, Mind Robotics raises $400M to top $1B, Waymo recalls 3,800 robotaxis over flooding, Unitree debuts the world's first mass-produced human-carrying mecha, and WIRobotics closes a $68M Series B. May 11–15, 2026.
CONSTRUCTION ROBOTICS | BUSINESS MODELS & INVESTMENT LANDSCAPE
Construction robotics attracted $4.4 billion in built environment tech funding through Q3 2025. SoftBank acquired ABB Robotics for $5.375 billion. RaaS is displacing capex models. AI-native platforms command 39x revenue multiples. This is where money meets machines.
CONSTRUCTION ROBOTICS | EXOSKELETONS & HUMAN AUGMENTATION
Construction musculoskeletal injuries cost US employers over $2 billion annually. Exoskeletons are moving from pilots to standard practice. Ottobock, German Bionic, Hyundai, and Innophys launched major products in 2024–2025. Korea and Japan lead adoption. AI is turning passive suits into connected safety platforms.
GLOBAL ROBOTICS INDUSTRY Comprehensive Sector Overview
A comprehensive global robotics industry overview for 2025, analyzing 14 key market segments — from industrial and humanoid robots to logistics AMRs, military systems, and service robots — with expert market sizing, US case studies, five-year forecasts, and bilingual English-Chinese analysis for executives and investors.
EU Bets €1.5B on Drones and AI: Inside EDIP's 2026–2027 Defence Industry Programme
The EU's €1.47 billion European Defence Industry Programme (EDIP) 2026–2027 targets drones, counter-UxS systems, AI-enabled autonomy, and loitering munitions across six major funding calls — allocating over €232 million directly to unmanned systems and related electronics supply chains.
Exoskeletons: The First Scalable Motion Platform for Humanoid Robots
Exoskeletons may scale before humanoid robots. A deep technical analysis of CES 2026 trends, motion systems, actuators, AI control, power constraints, and why exoskeletons are shaping humanoid robotics first.
Realman Robotics Open-Sources World's First High-Quality Multimodal Real-Robot Dataset
Realman Robotics has open-sourced the world's first high-quality, multimodal real-robot dataset, collected across ten real-world application scenarios at Beijing's humanoid robot data training center. The dataset features hardware-level temporal synchronization, sub-0.5% frame drop rate, and complete modality coverage including joint kinematics, six-axis end-effector force/torque, and calibrated multi-camera imagery.
China’s 1,230-Ton Digital Forming Machine Advances Intelligent Manufacturing
China unveils the world’s largest 1,230-ton skin stretching machine for aerospace manufacturing, marking a major advancement in high-precision industrial capability.
How Titanium Is Quietly Rewiring the Future of Robotics
Titanium’s strength-to-weight and corrosion resistance are reshaping robotics hardware, from lighter limbs to durable joints that unlock next-gen performance.
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