Branch Technology

Patented C-Fab® cellular 3D printing for construction-scale freeform structures. Produces lightweight lattice/open-matrix components, ventilated rainscreens, interior panels using polymer extrusion additive manufacturing.

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Branch Technology
1530 Riverside Drive Suite B
Chattanooga 37406
RobotToday Initiative

Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.

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Piaggio Fast Forward Brings kilo® Autonomous Mobile Robot to Automate 2026

Piaggio Fast Forward Brings kilo® Autonomous Mobile Robot to Automate 2026

Piaggio Fast Forward showcases kilo®, an infrastructure-free collaborative AMR (300 lb payload, 360° LiDAR), at Automate 2026 booth #17054.

SK Hynix Plans $1.4 Billion IPO in the US with Major Underwriters

SK Hynix Plans $1.4 Billion IPO in the US with Major Underwriters

SK Hynix, a South Korean semiconductor giant valued over $1 trillion, is set to launch its IPO on the Nasdaq, with expectations to be among the largest in history. Investment banks involved, including Goldman Sachs and Citigroup, anticipate a total commission pool exceeding $140 million, derived from a base underwriting fee and performance bonuses. This IPO is significant as it reflects the growing demand for semiconductor technology amidst a global supply chain recovery. The substantial commission indicates strong interest from investment banks, highlighting the competitive landscape in the semiconductor sector, which is crucial for various industries including automotive and consumer electronics. Looking ahead, the IPO is expected to attract considerable attention from investors, with no further timeline disclosed at the time of publication. The success of this offering could set a precedent for future tech IPOs and influence market dynamics in the semiconductor industry.

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer (Shanghai) Technology, founded by Assistant Professor Zhu Wenjun from Xi'an Jiaotong-Liverpool University, has successfully raised millions in angel funding from the Pudong AI Seed Fund. Established in 2025 with a registered capital of 2 million yuan, the company holds two patents and aims to optimize motor technology and establish mass production lines with the new funding. This funding is significant as it marks a shift in investment focus towards core components like joint motors, which have been underdeveloped in China. While many domestic motor technologies remain in the experimental phase, Bessemer is building a complete chain from electromagnetic simulation to standardized hardware, addressing the gap between laboratory innovations and industrial production. Looking ahead, Bessemer's product line includes the E series and S series motors, designed for humanoid robots and medical devices, which could disrupt the market by offering lighter, more efficient alternatives to traditional motors. No further timeline was disclosed at the time of publication for upcoming product launches or additional funding rounds.

Motor Technology Robotics Angel Investment High-Tech Startups
NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.

Robotics Industrial Automation Simulation Technology AI
RoverTech's Zmyi Ground Robots Enhance Ukraine's Military Operations with 57 Mission Average

RoverTech's Zmyi Ground Robots Enhance Ukraine's Military Operations with 57 Mission Average

Ukrainian robotics firm RoverTech has developed the Zmyi, a versatile ground robot that has achieved an impressive average of 57 missions in the frontline kill zone. Weighing 800 kilograms and equipped with various configurations for tasks such as demining and combat, the Zmyi is designed to evade detection by enemy drones, making it a critical asset in Ukraine's defense strategy. The significance of the Zmyi lies in its ability to operate effectively in high-risk environments, outperforming typical uncrewed ground vehicles (UGVs) that usually complete only seven missions. This advancement reflects a broader trend in Ukraine's military technology, where UGVs are increasingly replacing traditional armored vehicles due to their lower cost and adaptability for urgent battlefield needs. Looking ahead, Ukraine's President Volodymyr Zelenskyy has ordered the procurement of 50,000 UGVs by the end of 2026, significantly increasing the military's robotic capabilities. As the conflict evolves, the integration of UGVs with aerial reconnaissance is expected to reshape frontline tactics, although no further timeline was disclosed at the time of publication.

Ground-robots Ukraine Unmanned-vehicles Ugvs Sensor-networks
1X Enhances NEO Humanoid Robot with Advanced 25-DOF Hands for Versatile Tasks

1X Enhances NEO Humanoid Robot with Advanced 25-DOF Hands for Versatile Tasks

Norwegian robotics firm 1X has introduced new 25-degree-of-freedom (DOF) tendon-driven hands for its NEO humanoid robot, marking a significant advancement in robotic dexterity. These hands feature 22 actuated joints across the fingers and palm, along with three at the wrist, enabling NEO to perform tasks such as assembling LEGO models and catching balls with precision and strength. The redesigned hands allow for force sensing and durability, overcoming previous hardware limitations in robotic manipulation. With a unique tendon-drive system and low gear ratios, the hands can detect contact forces and provide continuous proprioception, enhancing the robot's ability to manipulate objects safely and effectively. The hands' human-like joint distribution, particularly the opposable thumb, facilitates a wide range of fine manipulation tasks, making NEO suitable for various household applications. 1X has commenced mass production of the NEO robot at its new California facility, aiming to commercialize home robots for daily assistance. The company emphasizes the hands' combination of precision, strength, and safety features, including IP68 waterproofing and self-cleaning capabilities. No further timeline was disclosed at the time of publication.

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Rollon Launches Magnetic Telescopic Rails to Enhance Railway Maintenance Efficiency

Rollon Launches Magnetic Telescopic Rails to Enhance Railway Maintenance Efficiency

Rollon, a leader in linear motion systems, has introduced the HVC-MG and H1C-MG integrated magnetic telescopic rails. These rails, designed for high-load applications, incorporate magnets into the rail structure to improve control and reduce effort during maintenance tasks. The new technology was unveiled this week and aims to enhance the efficiency and safety of railway maintenance operations by allowing engineers to easily pull out heavy battery compartments weighing hundreds of kilograms. The significance of this innovation lies in its ability to provide a seamless operation under heavy loads, addressing the challenges faced by maintenance personnel in the railway sector. The integrated magnets facilitate a sequential opening of the rail components, which minimizes simultaneous stress and enhances load distribution. This results in smoother operation, reduced manual effort, and extended rail lifespan, making it particularly suitable for the demanding environments of high-speed rail and subway systems. Looking ahead, Rollon plans to expand its magnetic control sequential motion technology across more product lines. The HVC and H1C series rails offer full extension and super extension options, maximizing accessibility while minimizing space usage. No further timeline was disclosed at the time of publication for additional product releases or enhancements.

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ABB Introduces Flexley Stack F712 AI-Powered Forklift with Visual SLAM Technology

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 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.

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Genie G2 Achieves Key Certifications in China, EU, and USA for Global Market Access

Genie G2 Achieves Key Certifications in China, EU, and USA for Global Market Access

The Genie G2, an interactive embodied robot developed by Zhiyuan, has successfully obtained multiple authoritative product certifications in China, the EU, and the USA. This achievement signifies that the Genie G2 meets top global safety and quality standards, establishing a solid compliance foundation for the brand's global commercial strategy and opening pathways for international market entry. This certification is significant as it positions Zhiyuan as the only company in the industry to have its entire product line certified to the highest international safety standards across all scenarios. The Genie G2's certifications cover essential dimensions such as electrical safety, mechanical safety, functional safety, cybersecurity, and data privacy protection, demonstrating its robust compliance capabilities and adaptability for global markets. Looking ahead, the successful certification of the Genie G2 supports its deployment in key manufacturing sectors, including 3C electronics and automotive components. The robot has undergone rigorous testing in real industrial environments, confirming its operational safety and stability. No further timeline was disclosed at the time of publication regarding future deployments or expansions in the global market.

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Emesent Secures $17 Million to Enhance AI-Driven Drone Operations and Expand Manufacturing

Emesent Secures $17 Million to Enhance AI-Driven Drone Operations and Expand Manufacturing

Emesent, an Australian drone mapping company, has raised $17 million to boost its AI-powered autonomous operations. This funding includes a $7 million venture debt facility from the National Reconstruction Fund Corporation and a $10 million equity round from notable investors such as Main Sequence and QIC Ventures. The investment aims to enhance the capabilities of drones in complex environments with minimal human intervention. The significance of this funding lies in Emesent's strategy to focus on software advancements alongside hardware improvements. The company plans to develop its Cortex AI autonomy software and Aura cloud platform, which will enable drones to operate in GPS-denied areas and process 3D mapping data efficiently. Emesent's existing Hovermap LiDAR payload is already utilized in over 200 mine sites globally, showcasing its established presence in the industrial drone sector. Looking ahead, Emesent intends to expand its manufacturing capabilities in Queensland while pursuing growth in international markets. CEO Charles Miller emphasized the importance of this investment in enhancing AI and autonomy for industries such as mining and defense. No further timeline was disclosed at the time of publication for the anticipated developments from this funding round.

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A comprehensive guide to industrial robot programming language evolution: G-code and NC origins, FANUC KAREL/TP, ABB RAPID, KUKA KRL, Yaskawa INFORM, the ROS open-source revolution, ROS2 architecture, ROS-Industrial consortium, OPC-UA, TSN, and real-time Linux — how six decades of software history define today's factory floor.

Gecko Robotics Wins $71M Navy AI Contract for Fleet Readiness

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Eye Surgery Robot Achieves 100% Success Without AI Training

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China's Robotic Lawn Mower Market Set to Surge Driven by Technological Advancements

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China’s robotic lawn mowers are reshaping a $10B global market. Wire-free RTK, lidar, and AI models drive exports, cut costs, and challenge legacy brands worldwide.