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Development Blog
International
Think Artificial
Think Artificial develops AI software solutions and machine learning applications for automation and intelligent systems. The company focuses on applied artificial intelligence, including computer vision and natural language processing for business and industrial use cases.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Dogtooth Technologies Secures £14 Million for AI-Powered Strawberry Harvesting
UK-based Dogtooth Technologies has successfully raised over £14 million in funding to enhance its AI-driven strawberry picking robots. The financing, provided by 24 Haymarket, EMV Capital, and ACF Investors, along with a grant from Innovate UK, aims to accelerate the deployment of these robots in both the UK and international markets. The company has already established a fleet of approximately 70 robots operating on commercial farms in the UK and Australia, harvesting tens of tons of fruit each season. The significance of this funding lies in addressing the ongoing labor shortages in agriculture, which have made robotic harvesting a necessity rather than a luxury. Dogtooth's robots utilize advanced computer vision and precision mechanical arms to autonomously navigate complex growing environments, identify ripe fruit, and perform harvesting without damage. This technology allows for continuous operation, even in cooler night conditions, thereby extending the shelf life of harvested produce. Looking ahead, Dogtooth Technologies is poised to expand its market presence, having recently delivered systems to Dyson Farming, a UK indoor berry producer. As the global horticultural industry grapples with seasonal labor shortages and rising costs, the successful deployment of these agricultural robots could signal a shift towards more widespread adoption of embodied intelligence in farming. No further timeline was disclosed at the time of publication.
Agricultural Robotics AI Technology Fruit Harvesting Embodied Intelligence
Lu Ce Wu Advances Embodied Intelligence at Qiongche Intelligent in China
Lu Ce Wu, a scientist from Chaoshan, has made significant strides in the field of embodied intelligence, establishing Qiongche Intelligent in 2023. This venture aims to enhance robotic capabilities, with a focus on real-world applications. In 2025, Qiongche's robots will be deployed in a pharmacy in Shenyang, demonstrating autonomous navigation and product recognition without altering existing systems. The significance of Lu's work lies in his commitment to embodied intelligence, a concept he believes should extend beyond digital confines to interact with the physical world. His journey began in 2012 when he recognized the potential of AI after witnessing AlexNet's success. Despite initial challenges in promoting embodied intelligence in China, Lu's persistence has led to recognition, including the Science Exploration Award in 2023, making him the first recipient in this field. Looking ahead, Lu plans to further develop Qiongche Intelligent's capabilities and has established the first AI doctoral program in China. He emphasizes the importance of strategic planning and talent cultivation to prepare for the future of embodied intelligence. No further timeline was disclosed at the time of publication.
Embodied Intelligence Robotics Artificial Intelligence Technology Innovation
Seoul University Introduces Single-Layer Artificial Skin for Enhanced Robotic Sensory Perception
On July 10, a research team led by Professor Seung Hwan Ko at Seoul University published a significant study in Nature Materials, unveiling a novel single-layer artificial skin. This innovative material allows robots to simultaneously sense temperature and pressure, mimicking human sensory capabilities. The design utilizes a silver-core-copper oxide shell nanowire network, enabling rapid switching between temperature and mechanical sensing modes at a frequency of 16 Hz. The development is crucial as it addresses the limitations of existing artificial skin technologies, which typically rely on multiple stacked sensors, resulting in complex structures and slower response times. The new sensor demonstrates remarkable response speeds, with mechanical stimuli detected in microseconds and thermal stimuli in milliseconds. When combined with AI models, the sensor's accuracy in object recognition improved from 65% to 95% by integrating signals from both sensing modes, showcasing its potential for real-world applications. Looking ahead, the research team has created a multi-array platform that can measure temperature and pressure distribution with spatial resolution comparable to human skin. This technology not only serves as a fingertip sensor but also has the potential to evolve into a comprehensive artificial skin system for robots. The team emphasizes that this advancement is a key enabling technology for physical AI systems, allowing machines to perceive and interact with their environment more effectively. No further timeline was disclosed at the time of publication.
Artificial Skin Robotics Sensor Technology AI Human-Robot Interaction
XSTO Mobility Launches $28,000 X12 Stair-Climbing Robot with AI and LiDAR Technology
XSTO Mobility has unveiled the X12 all-terrain mobility robot, priced at $27,999, designed to assist wheelchair users in overcoming stairs and other obstacles. Weighing approximately 115 kg and capable of carrying up to 136 kg, the X12 features a hybrid wheel-track chassis that allows it to navigate stairs autonomously, with a climbing speed of 25 steps per minute and descending speed of 30 steps per minute. The robot utilizes LiDAR and AI algorithms for real-time terrain perception, enabling it to adjust its driving mode and power output dynamically. The introduction of the X12 is significant as it addresses mobility challenges faced by individuals with disabilities, particularly in environments lacking accessibility features. With the ability to climb slopes of up to 40 degrees and traverse gaps of 300 mm, the X12 offers a solution that goes beyond traditional mobility aids. XSTO Mobility, based in Zhongshan, Guangdong, has been developing embodied mobile robots for over a decade, and the X12 represents a substantial advancement in this field, emphasizing user independence and safety. Looking ahead, XSTO Mobility has reported that orders for the X12 are already booked until April 2026, indicating strong market demand. The robot is currently available in over 70 countries, and its innovative design has garnered multiple awards. No further timeline was disclosed at the time of publication regarding additional product releases or enhancements.
Mobility Robots Assistive Technology AI Healthcare Innovation
ForSight Robotics Completes First Fully Robotic Cataract Surgery with JASPER Platform
ForSight Robotics has successfully completed the world's first fully robotic cataract surgery using its JASPER platform, led by Dr. Alexey Rapoport in April 2026. This groundbreaking procedure was performed at the Asian Eye Institute in the Philippines, showcasing JASPER's ability to execute the entire surgery autonomously without general anesthesia, adhering to modern cataract surgery standards. The significance of this achievement lies in JASPER's unique design, which empowers surgeons rather than replacing them. By integrating AI algorithms, advanced computer vision, and miniature mechanical technology, JASPER provides enhanced imaging and precision control, allowing surgeons to perform with the accuracy of elite professionals. This innovation also addresses ergonomic concerns, as it enables surgeons to operate seated, potentially extending their careers and improving surgical outcomes. Looking ahead, ForSight Robotics aims to secure FDA approval for JASPER in the United States, with plans to bring this technology to market in the coming years. The company has raised $195 million since its founding in 2020, with significant investments from notable figures and organizations. No further timeline was disclosed at the time of publication.
Robotic Surgery Cataract Surgery AI in Healthcare Ophthalmology Medical Robotics
Jake Laser Transforms Unitree Robot Dog into Wheelchair for Father’s Mobility
Jake Laser has ingeniously modified a Unitree industrial robot dog into a wheelchair for his father, who has been affected by multiple sclerosis for over 20 years. This innovative device features a hybrid wheeled and walking design, allowing it to navigate various terrains, including stairs and rocky paths, providing newfound mobility for Jake's father. The significance of this transformation lies in its technical ingenuity and emotional impact. By integrating a racing-style seat and recalibrating the robot's software to accommodate his father's weight, Jake ensured that the robot could maintain balance and stability. The project not only enhances mobility but also restores a sense of independence and pride for his father, who can now control the robot using a wireless joystick. Looking ahead, Jake's creation marks a notable advancement in assistive technology, blending robotics with personal mobility solutions. No further timeline was disclosed at the time of publication, but the successful testing of the robot on challenging terrains indicates potential for broader applications in mobility aids for individuals with disabilities.
Assistive Technology Robotics Mobility Solutions Innovation
ABB Introduces Flexley Stack F712 AI-Powered Forklift with Visual SLAM Technology
On July 8, ABB Robotics launched the Flexley Stack F712, an AI-driven autonomous forklift utilizing visual SLAM technology. This product completes ABB's lineup of autonomous mobile robots (AMRs), which now includes forklifts, tuggers, and transport vehicles. The F712 can handle various load types, with a maximum capacity of 2000 kg and a lifting height of 8.5 meters, achieving a top speed of 1.7 meters per second under full load. The significance of the F712 lies in its advanced navigation capabilities, which eliminate the need for traditional infrastructure like reflective markers or magnetic strips. With a positioning accuracy of ±10 mm, the F712 can autonomously navigate complex warehouse environments. It integrates seamlessly with the AMR Studio software, allowing for rapid deployment and fleet coordination, reducing debugging time by 20% compared to traditional systems. Looking ahead, the F712 is designed to support various internal logistics tasks, including warehousing and production line operations, and is compliant with the latest ISO and ANSI safety standards. No further timeline was disclosed at the time of publication, but the F712 represents a significant step towards more autonomous and capable robotic solutions in smart manufacturing environments.
Autonomous Forklifts AI Robotics Warehouse Automation Visual SLAM Logistics Technology
3Srobotics Secures Hundreds of Millions in Series B Funding for Smart Welding Solutions
3Srobotics, a company specializing in embodied intelligent robotics for industrial manufacturing, announced the completion of a Series B funding round on July 9, raising hundreds of millions. The round was led by Shanghai Semiconductor Investment and Jinqiao Fund, with participation from several venture capital firms. The funding aims to enhance their smart welding robotics capabilities and expand production capacity. The significance of this investment lies in addressing the critical shortage of skilled welders in China, where the average age of registered welders exceeds 45. With an estimated shortfall of millions of welding engineers by 2025, 3Srobotics' technology aims to improve welding quality, efficiency, and stability. The smart welding robot market is projected to reach hundreds of billions in the next decade, highlighting the urgent need for automation in this sector. Looking ahead, 3Srobotics plans to leverage its smart welding robots to introduce a range of industrial automation products, including grinding, cutting, assembly, and handling robots. The company aims to penetrate the entire manufacturing process, with a revenue target of several hundred million by 2026. No further timeline was disclosed at the time of publication.
Smart Welding Robots Industrial Automation AI Robotics Manufacturing Technology
Wisson Launches Flexible Charge Engine for Adaptive EV Charging Across 130+ Models
Wisson has launched the Flexible Charge automatic charging service engine, which features zero-second adaptive tolerance. This innovative solution is designed to support public, dedicated, and home electric vehicle (EV) charging, accommodating over 130 different vehicle models. The introduction of this technology marks a significant advancement in EV charging capabilities. The significance of the Flexible Charge engine lies in its ability to provide seamless and efficient charging solutions for a wide range of electric vehicles. By offering zero-lag adaptive charging, Wisson aims to enhance user experience and convenience, addressing a critical need in the growing EV market. This development is expected to contribute to the broader adoption of electric vehicles by reducing charging downtime. Looking ahead, Wisson's next steps in the rollout of the Flexible Charge engine remain to be seen. No further timeline was disclosed at the time of publication, but the company is likely to focus on expanding its market presence and partnerships to maximize the deployment of this technology across various charging infrastructures.
Technology
Beijing AI for Science Labs Launch Autonomous Robotic Scientists for Material Discovery
Beijing AI for Science labs have introduced autonomous robotic scientists that can design experiments, collect data, and discover new materials within a rapid timeframe of 20 seconds. This deployment represents a significant advancement in the capabilities of AI in scientific research, particularly in material science. The introduction of these robotic scientists is crucial as it signifies a paradigm shift in research methodologies, allowing for faster and more efficient experimentation. By automating the design and data collection processes, researchers can focus on higher-level analysis and innovation, potentially accelerating the pace of scientific discovery. Looking ahead, the impact of these robotic scientists on the research landscape will be closely monitored. The labs have not disclosed further timelines for additional capabilities or expansions, but the initial deployment marks a pivotal moment in the integration of AI and robotics in scientific exploration.
Technology
Automate 2026 | A3’s Jeff Burnstein on the New Geography of Robotics Adoption
RobotToday interviews A3 President Jeff Burnstein post-Automate 2026 on sector diversification, China’s 10x robot installation lead, a proposed U.S. national robotics strategy, and global cooperation through the IFR.
ROBOTTODAY Weekly June 1 – 5, 2026
This week in robotics: NVIDIA’s Jensen Huang visits Seoul to deepen physical AI ties, Generalist AI raises $400M at $2B valuation, Amazon upgrades Proteus with natural-language control, and UBTECH humanoid attracts 1,200 pre-orders. June 1–5, 2026.
Agricultural Robotics | 2025–2030 Outlook: The Labor Cost Reckoning
Agricultural robotics is projecting a $28–48 billion market by 2030 outside China, driven purely by labor cost replacement. Part 10 synthesizes the series: forecasting penetration ceilings, emerging technologies, and regional winners in the most consequential farming transformation since mechanization.
Unitree's IPO Review: What It Means for China's Humanoid Robot IPO Landscape
On 1 April 2026, China's Securities Association (CSAC) randomly selected Unitree Robotics for a mandatory on-site IPO inspection — just 12 days after its STAR Market application was accepted. The event has generated significant market commentary. This analysis examines the regulatory context, what the inspection actually means, the four core controversies in Unitree's prospectus, and the implications for competing humanoid robot companies pursuing public listings.
FUTURE WARFARE | Sea - Autonomous Surface Vessels & Unmanned Underwater Vehicles — The Hybrid Fleet Takes Shape
Ukraine’s ‘Sub Sea Baby’ autonomous torpedo struck a Russian Kilo-class submarine inside Novorossiysk harbour in December 2025 — the first confirmed underwater drone attack on a submarine in history. The U.S. Navy is requesting $5.3 billion for unmanned maritime systems in FY2026, a 70 percent year-on-year increase. Saronic Technologies went from prototype to $392 million production contract in under 12 months. And DARPA’s Manta Ray XL-UUV completed full-scale sea trials. This article maps the maritime autonomous systems revolution — from Ukraine’s improvised Black Sea fleet to the Pentagon’s hybrid manned–unmanned force of the 2030s, and from Saronic’s Franklin, Louisiana shipyard to Boeing’s 85-tonne robot submarine.
AI Space Data Centers: Power the Next Generation of Robotics
From Starcloud's $170M Series A to Google's Project Suncatcher and China's operational LEO constellations, AI space data centers are moving from concept to infrastructure. Here's what the robotics industry needs to know.
China's Humanoid Robot & Embodied Intelligence Standard System (HEIS 2026)
China's HEIS 2026 framework — the world's first comprehensive national standard for humanoid robots and embodied AI — sets technical specs across six pillars covering AI models, components, safety, and ethics. Here's what every EU and North American robotics manufacturer, integrator, and policy maker needs to know, and why the international standards race is already underway.
When the Machine Knows Better: The Quiet Revolution Inside Manufacturing
The machine can already see what human inspectors miss. But inside manufacturing, the real fight isn't about technology — it's about who gets to decide. The union battle over Manufacturing Intelligence begins here.
Columbia's Emo: Solving Robot Face Problem
Columbia's Emo robot breakthrough reveals why facial biomimicry is robotics' second hardest challenge. Analysis of tech barriers and 2028-2030 timeline.
Is the NVIDIA-Siemens Partnership a Trojan Horse?
Media hailed it as a landmark alliance. But flip the view: it resembles a Trojan Horse. Siemens gains compute and world-model access; NVIDIA quietly secures control over industrial training data, model iteration, and world representation.
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