Robot joint motor factory supplier from FoxTech: 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 extra details on handheld lidar scanner.
The UGV Wheeled Chassis is a versatile solution for both indoor and outdoor environments. With payload capacities up to 60kg and omnidirectional capabilities, these platforms excel in security patrols, material handling, and delivery applications. Intelligent navigation ensures precise movement and high operational efficiency. Our Following Robots, including the FOLO-200 and FOLO-500, are equipped with advanced human-following technology, allowing them to automatically track and follow operators. These robots are designed for applications such as cargo transport and industrial logistics, providing efficient, hands-free solutions for warehouse operations and material handling. With their high payload capacity and autonomous navigation, these robots are perfect for industries that require streamlined logistics and worker efficiency.
Procurement Cost Optimization: No need to purchase separate aerial and handheld scanners—a single device supports both, saving customer costs. Simplified Training: A unified software platform (SLAM GO POST PRO) handles data from both modes, avoiding the complexity of operating multiple systems. Business Scope Expansion: Enables centimeter-level indoor modeling to square-kilometer terrain mapping—enhancing market competitiveness. Future Outlook: Technological Innovation Leading Industry Change – The introduction of the SLAM200 dual-mode scanning solution marks not only a major hardware breakthrough but also a transformation in 3D LiDAR scanning workflows. The aerial-handheld dual-mode design overcomes the limitations and inefficiencies of traditional systems, offering users a new “all-in-one” experience.
Improved Data Accuracy And Detail – Garbage in, garbage out. That’s the saying, right? With handheld lidar scanners, you get incredibly accurate and detailed data. These scanners capture millions of data points, creating a precise 3D representation of the environment. This level of detail is simply unachievable with traditional methods. Think about the implications for your projects. Imagine you’re an architect designing a renovation. With lidar data, you have an exact model of the existing structure. This allows you to create designs that fit perfectly, reducing the risk of costly errors and rework. Or consider a forensic scientist documenting a crime scene. The detailed lidar data captures every detail, providing invaluable evidence. Read additional information at https://www.foxtechrobotics.com/.
Since the debut of Wabot 1 in 1972, humanoid robots have undergone significant advancements, from performing basic tasks to achieving dynamic movement and enhanced capabilities. Today, the integration of artificial intelligence has accelerated global competition, particularly between leading nations. With over 205 companies globally, China leads the sector with more than 100 firms, followed by the United States and Japan. Investment and product launches have surged, with over 90 new robots introduced in 2024, marking a shift towards competitive innovation.
Technology Breakthrough: How Handheld SLAM Devices Solve These Challenges – Open-pit mines are vast. Static scanning requires repeated setup, which slows down data collection and makes large-scale modeling inefficient. High labor costs: Traditional methods require team coordination and involve cumbersome workflows prone to human error. Poor adaptability to dynamic scenes: Mining operations are highly dynamic. Activities such as blasting, excavation, and support frequently change the terrain. Static survey results become outdated quickly, limiting their usefulness in real-time decision-making. Geological disasters, like collapses or landslides, demand rapid post-event mapping to assess the site quickly and accurately.