Autonomous carriage loading and unloading robots are robots based on 3D machine vision guidance and radar navigation. They can navigate autonomously, load and unload goods autonomously, and carry goods intelligently. They are suitable for loading and unloading containers, box trucks, flatbed trucks, etc., and can handle both boxed and bagged items. They support heavy-duty cargo trucks and platforms without modification.
When the carriage arrives at the designated location, a signal is given. The loading and unloading robot reaches the designated location through autonomous navigation according to the signal, determines the position of the package through 3D visual detection, guides the robotic arm to grab it, and places the package on the conveyor line after grabbing it to the back end for unloading. The position of the package on the line is determined through visual detection, and visually guides the robotic arm to grab and stack the goods.It can achieve efficient and accurate cargo loading and unloading in complex logistics environments. It integrates multi-sensing scene perception technology and realizes comprehensive perception of the surrounding environment through multiple sensors such as lidar and depth cameras. This enables the robot to obtain information such as the location, posture and size of the goods in real time, so as to accurately grab and place them.Compared with traditional decision-making systems, this system has higher flexibility and adaptability, and can make decisions quickly in complex and changing environments to ensure the smooth completion of loading and unloading tasks. In practical applications, through deep learning and self-optimization, the working efficiency and accuracy of loading and unloading robots can be continuously improved.
Working principle
1. Environmental perception:
● Use sensors (such as lidar, cameras, and ultrasonic sensors) to perceive the internal and external environment of the carriage in real time and create a three-dimensional map.
● Use machine learning and image recognition technology to identify cargo and obstacles in the carriage.
2. Path planning:● Based on real-time maps and environmental information, use algorithms (such as A*, Dijkstra, or SLAM) to plan the optimal path to avoid obstacles and reach the target location efficiently.● Real-time dynamic adjustment of the path to cope with environmental changes or temporary obstacles.3. Autonomous navigation:● Accurate positioning and navigation through integrated navigation systems (such as GPS, IMU, and odometers).● Use drive systems (such as electric wheels, tracks, or multi-legged) to achieve smooth movement under different ground conditions.4. Cargo operation:● Equipped with gripping devices such as robotic arms or suction cups, it can accurately grasp, carry and place cargo.● Use force feedback and visual feedback technology to ensure the stability and accuracy of grasping and placing operations.5. Communication and coordination:● Communicate with the central control system or other robots through wireless networks to achieve multi-robot collaborative operations and task allocation.● Real-time transmission of status and location information for easy monitoring and management.Features1. Efficiency:● Able to efficiently load and unload cargo in complex environments, improving the overall efficiency of logistics transportation.● 24*7 continuous work without rest, significantly improving operation speed.2. Flexibility:● Adapt to various types of carriages and cargo types, with strong adaptability.● Customized design and functional expansion can be carried out according to actual needs.3. Safety:● Equipped with multiple safety mechanisms to ensure safe operation in a human-machine coexistence environment.● Timely detection and handling of abnormal situations through real-time monitoring and fault detection functions.4. Intelligence:● It has the ability to learn and optimize autonomously, and can continuously improve work performance based on historical data and experience.● It uses artificial intelligence algorithms to optimize path planning and operation strategies, reducing energy consumption and time waste.5. Cost-effectiveness:● Although the initial investment is high, long-term economic benefits can be achieved by improving work efficiency and reducing labor costs.● The maintenance and operating costs are relatively low, with a high cost-effectiveness.6. Environmental protection:● It uses electric drive to reduce carbon emissions and noise pollution, and meets environmental protection requirements.These characteristics make autonomous loading and unloading robots have broad application prospects in modern logistics and warehousing.
