Technological Trends in Mobile Warehouse Robots
The technological development trends of mobile warehouse handling robots in the global and Chinese markets focus on advancements in autonomous navigation and obstacle avoidance, improvements in visual recognition technology, intelligent and collaborative scheduling, the application of 5G networks, human-robot collaboration, enhanced continuous operation capabilities, and optimization of mechanical structures and stability.
Intelligence and Automation: With continuous progress in artificial intelligence, logistics handling robots are evolving toward greater intelligence and automation. For instance, autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) can navigate and avoid obstacles independently, efficiently handling complex environments while significantly improving operational efficiency and accuracy.
Efficiency and Flexibility: Logistics handling robots aim to improve operational efficiency while emphasizing flexibility and adaptability. For example, AGVs equipped with omnidirectional movement technology using Mecanum wheels can maneuver in confined spaces, saving time and storage space. Additionally, intelligent warehouse robots equipped with autonomous navigation and intelligent recognition technology can precisely locate goods and carry out tasks such as transport, sorting, and storage.
Collaboration and Task Scheduling Optimization: To address task conflicts in multi-robot systems, researchers have developed intelligent collaborative scheduling methods for warehouse logistics robots. By adjusting robot paths and building task collaboration models, these methods significantly enhance warehouse operational efficiency.
Technological Innovation and Cross-Field Integration: In the future, logistics handling robots will continue to advance through technological innovation, cross-field integration, flexible design, cost reduction, and enhanced safety measures. For instance, integrating IoT, LiDAR navigation, and 5G technologies, traditional forklifts are inevitably transitioning toward autonomous forklifts and AGVs.
