Robot joint provider 2025: SLAM100 is the first handheld mobile lidar scanner launched by Feima Robotics. Thesystem has a 360° rotating head, which can form a 270°x360° point cloud coverage.Combined with the industry-level SLAM algorithm, it can obtain high-precision three.dimensional point cloud data of the surrounding environment without light and GPS. SLAM200 is the third generation high-precision handheld laser scanner. SLAM200 LiDAR Scanner features a panoramic camera, a higher-performance laser sensor, built-in GNSS module and a more powerful processing unit, offering higher precision, finer details, and more convenient functions. SLAM200 handheld Lidar Scanner is a more efficient and convenient measurement tool to obtain high-precision 3D point cloud data of the surrounding environment. Find more details on robot joint motor manufacturer.
Our Automatic Robot line includes Robot Chassis, Following Robots, and Integrated Joints. These robots are equipped with autonomous navigation systems and high-precision mechanical joints, perfect for industrial automation, smart logistics, warehouse management, and research. For example, our Following Robots feature high load capacity and are designed to autonomously follow operators in warehouses and factories, easing material transport. Additionally, our intelligent robotic joints offer unmatched precision and flexibility for robotic arms and collaborative robots. Complementing these systems are our video transmission modules, data links, and wireless control systems for optimal performance across various scenarios.
Historical Architecture Scanning – In this field, aerial mode completes fast scanning of upper structures, while handheld mode captures complex interior and lower details. This innovative solution avoids traditional operation risks, significantly improves efficiency, and helps complete heritage scans with safety, speed, and precision. Indoor Real Estate Surveying – In indoor property mapping, the handheld mode of SLAM200 shows outstanding performance. It can replicate interior layouts and dimensions at a 1:1 scale, greatly improving surveying efficiency and accelerating project completion. Traditional methods struggle to obtain top-level facade data due to limitations in scan angles and range, resulting in sparse point clouds and missing details. Drone-mounted LiDAR systems typically cannot scan vertically along building facades and require extra equipment investments. SLAM200 solves this through its aerial mode—by mounting it on a drone and running SLAM algorithms in real time, it enables vertical scanning along facades. When combined with handheld ground data, it overcomes single-perspective limitations and builds comprehensive, high-precision 3D facade models. In this case, data from three 12-story buildings was collected using both modes, and integration of aerial and handheld data provided more complete facade data.
Imagine this: you’re surveying a construction site. Instead of spending days with traditional tools, you can walk the site with a handheld scanner and capture all the data you need in a few hours. This frees up your team to focus on other critical tasks. Less downtime, more productivity. It’s a win-win. Here’s a breakdown of how handheld lidar boosts efficiency: Faster Data Collection: Capture data much quicker than traditional methods. We’re talking hours versus days in many cases. Reduced Fieldwork: Less time spent in the field means lower labor costs and fewer potential safety hazards. Streamlined Workflows: Data processing is faster and more automated, reducing bottlenecks. Real-time Data: Some scanners offer real-time data visualization, letting you make decisions on the spot. See more details on https://www.foxtechrobotics.com/.
Looking Beyond the Hype: The Path to True Integration – As humanoid robots continue to gain attention, it is crucial to distinguish between performance-based robotics and practical robotics. While viral videos of robots dancing and performing acrobatics generate excitement, the true milestone will be the seamless integration of these robots into industries where they provide tangible value. Moving forward, the focus should be on enhancing real-world applications rather than creating short-term spectacles. Companies investing in industrial-grade humanoid robotics must prioritize long-term reliability, adaptability, and safety to drive genuine innovation.
Models such as the SLAM200 and SLAM2000 support real-time color LAS point cloud generation. When connected to a CORS network, the data can be georeferenced with absolute coordinates. See as you scan: Point cloud data is generated in real-time and can be previewed in first-person via a mobile app, enabling immediate data verification. Cross-platform compatibility: Supports export in LAS, LAZ, e57, PCD and other common formats, ensuring seamless integration with professional post-processing software. Underground Tunnel Scanning at a Coal Mine in Henan – To meet client requirements, an explosion-proof handheld SLAM scanner was used to collect point cloud data in underground tunnels. The goal was to generate both a 3D model and tunnel cross-section diagrams. The device is certified for explosive environments, with CMA certification and Ex b1 Mb explosion-proof rating. Its integrated design ensures ease of use and stable performance, with industry-grade accuracy and range.