Handheld lidar scanner manufacturer right now: Handheld LiDAR devices are compact, portable systems designed to capture 3D point cloud data without relying on GNSS signals. These tools use advanced LiDAR technology and SLAM algorithms to perform real-time scanning and visualization, making them suitable for both indoor and outdoor environments. Most models feature 360° rotating gimbals for wide coverage and are equipped with smart battery systems to enable continuous operation using a dual-battery setup. See additional information 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.

In construction surveying, handheld mode captures detailed textures, while aerial mode scans the overall structure—achieving integrated modeling of “local detail + global space.” Power Line Inspection – For power inspection, aerial mode efficiently builds 3D point clouds of transmission lines; handheld mode flexibly handles complex airspace scenarios such as airports and dense high-voltage areas, overcoming flight limitations for high-precision data acquisition and rapid modeling. Emergency Response and Surveying – In geological disaster response, aerial mode quickly builds large-scale 3D terrain models to support disaster assessment with full-range visualization. Handheld mode can then target key areas for high-precision detail scanning, aiding rescue route planning and resource deployment.

Versatile Applications Across Industries – Handheld lidar scanners aren’t just for surveyors anymore. Their versatility makes them useful in a wide range of industries. From construction and engineering to mining and forestry, lidar is transforming how we work. Think about the possibilities. Imagine a city planner using lidar data to create a detailed 3D model of a city. This model can be used for urban planning, infrastructure management, and even disaster response. Or picture an archaeologist using lidar to discover hidden ruins buried beneath the jungle canopy. The applications are endless. Here are some examples of how different industries are using handheld lidar: Construction: Progress tracking, as-built documentation, BIM modeling. Engineering: Surveying, topographic mapping, infrastructure inspection. Mining: Volume calculations, stockpile management, mine safety. Forestry: Tree height measurement, biomass estimation, forest inventory. Real Estate: Creating virtual tours, generating floor plans, measuring property dimensions. Public Safety: Crime scene documentation, accident reconstruction, disaster response. Find more info at foxtechrobotics.com.

Overcoming Challenges: The Need for Embodied AI – Despite the progress, major hurdles remain. One of the biggest challenges in humanoid robotics is the development of embodied AI, which enables robots to understand and interact with their physical environment intuitively. While current robots can execute pre-programmed tasks, they often struggle with open-ended instructions such as “place the tool on the third shelf of the toolbox.” The key to unlocking humanoid robots’ full potential lies in improving their reasoning abilities, sensory perception, and interaction with human environments. This requires advancements in multimodal AI, which combines visual, linguistic, and motor processing to enable robots to make independent decisions based on their surroundings.

In a coal bunker project, high-precision handheld SLAM equipment was used to scan the surface of material piles. The resulting point cloud was processed to reconstruct the 3D shape and calculate the stockpile volume. When paired with density values, the system could also compute total material weight. Two sets of tunnel scan data were collected using explosion-proof equipment for excavation deviation analysis. The following figures present sample data and report results (anonymized): Tunnel cross-section model, Over/under-excavation deviation report. Fully domestically developed: Core technologies are 100% local, ensuring data security and supply chain independence.