Top robot joint motor factory: 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. Read additional details at robot joint motor.
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.
Heritage Building Scanning in Ximen Old Street, Yiwu, Zhejiang (Handheld + Aerial Mode) – According to user requirements, a historical building was scanned using both aerial and handheld modes, resulting in a complete dataset of the heritage structure. Highway Bridge Facade Scanning in Zhejiang (Aerial Mode Only) – Data collection focused on evaluating bridge navigability. The measured area included both facades of a 1400-meter bridge section. Manual drone flights enabled full-scope scanning in a single mission, significantly improving efficiency. The data showed elevation accuracy better than 5 cm, supporting accurate navigability assessments.
Here’s how handheld lidar improves data quality: High-Density Point Clouds: Millions of data points create a rich and detailed 3D model. Millimeter Accuracy: Lidar scanners offer exceptional precision, ensuring accurate measurements. Reduced Human Error: Automated data capture minimizes the risk of mistakes associated with manual measurements. Comprehensive Data: Lidar captures everything in its field of view, including hard-to-reach areas. Calibration is crucial for maintaining accuracy. Regularly calibrate your scanner according to the manufacturer’s instructions. This ensures that your data is always reliable. Also, consider environmental factors like temperature and humidity, which can affect accuracy. Read even more info on https://www.foxtechrobotics.com/.
The Industrial Potential of Humanoid Robotics – Beyond the automotive industry, companies across various sectors are exploring how humanoid robots can enhance productivity. In factories, they are taking on repetitive and physically demanding tasks, such as handling heavy materials, sorting parts, and performing precision assembly. The long-term goal is to integrate robots into more complex workflows, from warehouse logistics to hazardous manufacturing environments. This transformation is driven by significant advancements in artificial intelligence, sensor technology, and motion control systems. By leveraging these innovations, humanoid robots are becoming more adaptable, capable of executing intricate tasks that were once exclusive to human workers.
Built upon independently developed SLAM (Simultaneous Localization and Mapping) algorithms and high-precision LiDAR technology, these handheld devices overcome the limitations of traditional surveying. They enable real-time, on-the-go modeling in complex environments like underground tunnels and open-pit mines. Whether operating in kilometer-deep tunnels or expansive surface areas, centimeter-level accuracy is achievable, ensuring comprehensive spatial awareness for safety-critical decision-making. Why Do Mines Need a “Handheld Revolution”? Traditional methods are inefficient and risky. Complex and variable environments: Tunnels present ever-changing conditions. Manual surveys require extended exposure to hazardous areas, posing significant safety risks.