Robot joint motor supplier by FoxTech: 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. Discover more info at robot joint motor manufacturer.
We offer a variety of robot chassis, including tracked, wheeled, and Automated Guided Vehicle (AGV) platforms, suitable for industrial, security, and logistics applications. These chassis feature high payload capacity, all-terrain adaptability, and intelligent navigation systems, enabling efficient automation solutions. Our UGV Crawler Chassis offers robust all-terrain mobility for demanding applications. Designed for payloads ranging from 50kg to 120kg, these platforms are ideal for outdoor inspections, remote operations, and security tasks. Featuring advanced navigation and rugged track designs, they ensure stable performance on various terrains.
Handheld Mode: Lightweight (only 1.9kg including base and battery) with ergonomic design, supports one-hand operation, suitable for detailed tasks like facade surveying, underground garages, and cultural relic digitization. Equipped with two 12MP panoramic cameras, it synchronously captures high-precision colored point clouds and real texture data to generate centimeter-level accurate 3D models. Aerial Mode: Quickly connects to drones via quick-release interface and uses the drone’s power supply system, reducing payload weight. The main unit weighs only 1.4kg, equipped with two 12MP panoramic cameras, supports 300m ranging, and offers 360° full-range scanning. Maximum flight altitude reaches 120m. Application Scenarios: From Construction Surveying to Emergency Response – The dual-mode design of the SLAM200 demonstrates unique advantages across multiple fields.
Here’s how handheld lidar can improve your bottom line: Reduced Labor Costs: Faster data collection means less time spent on fieldwork, reducing labor expenses. Fewer Errors: Accurate data minimizes the need for rework, saving time and money. Increased Productivity: Streamlined workflows and faster data processing lead to increased productivity and higher revenue. Improved Safety: Less time spent in the field reduces the risk of accidents and injuries, lowering insurance costs. New Revenue Opportunities: The ability to offer new services, like 3D modeling and virtual tours, can generate additional income. Calculate the ROI of investing in a handheld lidar scanner for sale for your specific business. Consider factors like labor costs, project timelines, and potential revenue increases. You might be surprised at how quickly the investment pays for itself. We at Foxtech Robotics can help you assess your needs and find a solution that fits your budget. See even more information at foxtechrobotics.com.
Kicking off 2025, humanoid robots continue to dominate headlines, from a dazzling presence at CES 2025 to shaking up capital markets. Industry giants are entering the fray, while companies race to announce mass production plans. This revolutionary tool is rapidly advancing, with its transformative potential drawing increasing attention. The humanoid robotics industry is on the brink of reshaping technology and society, underscoring its growing importance and imminent impact across various sectors. With advancements in AI, modular design, and lightweight materials, humanoid robots are poised to become integral to industrial operations. Energy management innovations, such as new battery technologies, will enhance performance. As costs decline and capabilities expand, the global market for humanoid robots is expected to grow significantly from 2024 to 2035, reshaping industrial processes across multiple sectors.
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.