Although the process of machine replacement is in full swing, in the original indoor and outdoor mobile work scenes with large areas, long operating lines and complex environments, many enterprises will soon choose to give up after trying to use robots.
Because in these factories, power grids, railways, and agricultural scenarios, the mapping area is often more than 500,000 square meters, and most of them require 3D mapping, which makes it difficult for terminal enterprises to quickly realize robot development and application.
On the one hand, mobile robot product programming is difficult, the development process is complex, for enterprises that do not understand the code and will not integrate, it is a great challenge to quickly deploy and land. On the other hand, large-area mapping also presents more diversified challenges for operating speed and navigation methods.
For a long time, the market is actually very much looking forward to a robot hardware and software platform with strong autonomous performance, easy development and easy deployment. It is understood that at present, the newly released NAVIS platform of Songling with a full series of chassis, has been able to be widely applied to various scenarios in the whole process of unmanned autonomy. On the basis of universal chassis, NAVIS platform helps robots perfectly integrate autonomous features, and has significant low cost and high efficiency characteristics, effectively helping enterprises to achieve cost reduction and efficiency.
Four core scenes to reduce costs and increase efficiency
The NAVIS platform adopts standardized development interfaces, supports multiple external hardware, supports long-term software maintenance, and enables rapid secondary development according to application scenarios. This integrated navigation solution can reduce users’ comprehensive deployment costs, reduce development cycles, save time and costs for customers, and improve hardware trial and error capabilities.
Taking the agricultural field as an example, the agricultural field is a new field that has received considerable attention at present. Due to the obvious unstructured environment in this field, it is difficult to use robots in most scenarios such as plant protection operations and picking. Traditional artificial plant protection operations not only rely on the slow movement of workers, but also need to consume a lot of physical strength every day, and the plant protection efficiency is relatively low. And can not continue to work for a long time.
At present, some customers have applied Songling Robot’s NAVIS platform and mobile chassis in the agricultural field, and have made remarkable progress in some scenarios. The scheme uses 3D liDAR, odometer and inertial sensor to obtain farm environmental information, pre-processes the original point cloud data through region of interest extraction and ground point cloud segmentation sampling, and then adaptively determines the clustering density threshold according to the distance between data points and lidar, realizes crop detection at different distance intervals, and completes the 3D mapping of farmland. Efficient field patrol, monitoring crop growth, detection of agricultural information, so as to achieve accurate variable plant protection operations. Through the above innovative applications, the agricultural field has made important progress in realizing the automation upgrade of traditional plant protection scenarios.
The field of industrial inspection is also highly valued by the industry. At present, some customers have adopted the combination of Songling NAVIS platform and RANGER mini 2.0 chassis to achieve a relatively intelligent and easy-to-use new way. Customers can complete scene demo development at a faster speed, and the expected development time of 3-6 is actually reduced to 1 month. Thus, enterprises can focus more on business scenarios, respond to customer needs, help more customers access the hardware and software system with standard and common interfaces, add new content, and help users improve the development and deployment efficiency.
On the basis of NAVIS Board, the company has easily developed instrument recognition, color recognition and quantity monitoring functions by installing high-definition cameras and combining artificial intelligence algorithms. Since the repeated positioning accuracy is higher than most products in the market, the NAVIS platform combined with robots can improve the automation and intelligence level of normal inspection operations, and the accuracy of mark recognition is also greatly improved.
NAVIS based on the development of inspection robot
In the field of security, some companies combine the NAVIS platform with RANGER mini 2.0 to easily realize the patrol and monitoring of areas such as buildings and parking lots. Since the RANGER mini 2.0 chassis has a load capacity of 80KG, it can easily climb over 15% slope and has 80mm overloading capacity independently, which ADAPTS to and meets the needs of complex scenarios in most different industries. With the autonomous navigation of the NAVIS platform, the robot can quickly exert the advantages of robot maneuverability, passability and safety, quickly traverse the designated area, monitor and record anomalies in real time, provide security and reduce the pressure of manual patrols.