We are pleased to announce that Foxtech, represented by Huixinghai Technology (Tianjin) Co., Ltd., has been officially authorized by Shenzhen Damiao Technology Co., Ltd. as a distributor of DAMIAO Technology products.

The robotics industry is entering a new phase. The central question is no longer simply whether a robot can walk, run, grasp an object, or complete a carefully rehearsed demonstration. Developers, investors, and end users are now asking a more practical question: can the technology operate reliably in real environments and create measurable value?

This transition was clearly visible at the 2026 World Robot Conference (WRC 2026), held from August 19 to 23 in Beijing E-Town. Under the theme “Human–Machine Symbiosis, Integrating Supply and Demand,” the event placed stronger emphasis on connecting technological development with actual market needs.

Rather than presenting robotics only as a vision of the future, WRC 2026 showed how the industry is building the tools, datasets, hardware platforms, and application ecosystems required to move robots from laboratories into factories, commercial spaces, public services, and everyday life.

A panoramic camera can capture an entire room in a single 360° view. It can preserve colors, textures, furniture, walls, and almost every visible detail. Yet when a customer asks a simple question—such as the width of a doorway, the distance between two columns, or the height of a ceiling—the image alone often cannot provide a reliable answer.

This is the gap Pocket 3D is designed to fill.

Rather than replacing the panoramic cameras that creators and professionals already use, Pocket 3D adds LiDAR SLAM, true physical scale, and a complete processing workflow to the existing Insta360 and DJI Osmo ecosystem. It turns attractive panoramic imagery into measurable spatial data while also supporting photorealistic 3D Gaussian Splatting reconstruction.

Heavy-lift drones are changing how equipment and supplies can be delivered to mountains, construction sites, power-line corridors, disaster areas, and other locations that are difficult to reach by road. However, lifting capacity alone does not solve every transport problem.

Tools, emergency supplies, spare parts, packaged materials, and other small or irregular items still need to be organized, protected, loaded, and unloaded efficiently. If every item requires separate suspension or complex external fastening, preparation can become time-consuming and the risk of movement or exposure during transport may increase.

Foxtech is introducing a new Heavy-Duty Cargo Box for DJI FlyCart 100, developed to make professional aerial logistics more practical. The box combines a maximum load capacity of 80 kg, a 125.6-liter internal volume, aerospace-grade aluminum alloy and carbon-fiber construction, and a quick-release mounting structure in a lightweight 7.8 kg design.

Instead of treating cargo protection and aircraft integration as separate tasks, the new transport box provides FlyCart 100 operators with a purpose-built container for carrying equipment, supplies, and other mission-critical payloads.

Nighttime drone operations often involve more than simply seeing whether an object is present. Public-safety teams may need to distinguish a person from the surrounding terrain, utility inspectors may need to recognize structural details, and emergency responders may need to understand roads, vehicles, and access routes without waiting for daylight.

Conventional low-light footage can become dark, noisy, blurred, or lacking in useful color information. Flying closer to the target may improve visibility, but it can also reduce the operator’s stand-off distance and make the mission more difficult around buildings, power infrastructure, forests, ports, or emergency scenes.

Contamination on transmission-line insulators can affect insulation performance and increase the risk of pollution flashover and power-line faults. However, cleaning insulators installed on high-voltage transmission towers is a demanding maintenance task, especially when equipment is located high above the ground or in areas that are difficult for workers and conventional machinery to access.

To provide power-grid maintenance teams with a more flexible cleaning method, Foxtech is introducing the AeroClean F30, a new drone-mounted insulator cleaning system developed for the DJI FlyCart 30.

In previous technical articles, we introduced the imaging principles of spatial cameras, compatibility with open-source ecosystems, and practical results in forestry applications.

This article focuses on the practical value and field performance of Pocket 3D in traffic accident investigation.

High-quality human demonstration data is becoming an essential foundation for embodied AI, imitation learning, and robotic manipulation research. However, recording a person completing a task is only the beginning. Research teams also need accurately aligned information about hand movement, gripper status, visual context, depth, motion, and spatial trajectories.

When these data streams are captured by separate devices, differences in timing, coordinate systems, and data quality can make the resulting dataset difficult to use. Problems may only become visible after collection is complete, leading to repeated demonstrations and additional post-processing work.

Local forestry digitalization requires more than simply collecting images of a forest. Forestry teams need reliable spatial data for extracting tree parameters, documenting forest conditions, monitoring changes, and presenting results in an intuitive format.

High-end professional SLAM systems can meet these requirements. However, for local forestry stations, small and medium-sized surveying teams, and research plot projects, the key concern is often not technical feasibility but operational cost-effectiveness.

Building capable embodied AI systems requires more than recording ordinary video. Researchers need structured, synchronized data that helps robots understand what a person sees, how their hands move, and how an operation develops over time.

To address this challenge, Foxtech is introducing HeadGo Ego, a new head-mounted human data collection device designed for embodied AI, robot learning, imitation learning, and dexterous manipulation training.

Combining first-person visual capture, hand keypoint tracking, motion sensing, real-time monitoring, and an integrated backpack-style DataCube system, HeadGo Ego helps research teams collect human operation data in a mobile and practical workflow.

In our previous article, Pocket 3D: Transform Your Panoramic Camera into a Spatial Camera, we explained how Pocket 3D uses LiDAR technology to overcome the pose-capture limitations of panoramic cameras and enable accurate 3D data acquisition. This article explores how the collected data can be used and the broader application value of Pocket 3D.

Creating a realistic three-dimensional model of a physical environment often requires expensive professional scanners, complex software, and specialized technical experience. Mobile scanning applications may be easier to use, but they do not always provide the level of scene quality or output flexibility required for professional projects.

The newly launched Pocket 3D Portable 3D Scanner and Modeling System is designed to bridge this gap. Powered by 3D Gaussian Splatting technology and compatible with selected DJI and Insta360 cameras, Pocket 3D provides a more accessible way to capture real-world spaces and transform them into photorealistic, interactive three-dimensional models.