Lingdong Technology is nominated for the "Veco Cup OFweek 2022 China Robotics Industry Annual Outstanding Technology Innovation Enterprise Award"

OFweek Cup 2022 China Robot Industry Annual Awards (abbreviated as OFweek Robot Awards 2022) is jointly organized by OFweek, China's high-tech industry portal, and its authoritative robot professional media - OFweek Robot. The award has been established for more than ten years and is a major brand event in China's robot industry. It is also one of the most professional and influential awards in the high-tech industry.

The event aims to build a brand communication and display platform for products, technologies and enterprises in the robotics industry, and leverage the resources and influence of OFweek to promote innovative products and solutions to industry users and the market, and encourage more companies to invest in technological innovation; at the same time, it will deliver more innovative products and cutting-edge technologies to the industry, and together imagine the future of the robotics industry.

This year, OFweek Robot Awards 2022 will be completely upgraded, expanding the track based on last year's awards and adding new awards related to the robot industry chain, forming more awards with wide coverage, deep industry reach, and great industry influence, including a total of 14 major awards.

Participating companies

Lingdong Technology (Beijing) Co., Ltd. has officially participated in the "Veco Cup OFweek 2022 China Robotics Industry Annual Outstanding Technology Innovation Enterprise Award".

Achievement Introduction

(1) Market prospects

Visual autonomous mobile robots (AMRs) are superior to rail AGVs, QR code AGVs and laser AMRs in terms of autonomous mobility, flexible implementation, rapid deployment and efficient coordination. They have high positioning accuracy, low picking error rate, high production efficiency, wide operating range, and multi-machine collaborative operation and safe control capabilities across multiple floors and multiple elevators. They have technical advantages in replacing grassroots picking workers and grassroots dispatchers. Visual AMRs that can provide point-to-point, end-to-end flexible digital solutions are the inevitable direction of the development of future smart logistics and smart logistics in manufacturing warehousing.

With the further development of market cultivation, the recognition of AMR on the application side will gradually increase, which will be conducive to the further rapid expansion of the subsequent market scale. At the same time, with the development of production and manufacturing, the demand for manufacturing flexibility has increased, the product cycle has been shortened and accelerated, the labor cost has risen, and the demand for the use environment and human safety trend has increased. All of these require manufacturing and logistics scenarios to have rapid response capabilities and higher efficiency. As a highly automated flexible handling equipment, AMR will be the general direction of future industrial upgrading automation.

(2) Core Technology

2.1 Visual AMR Multi-view Perception and Semantic Information Fusion

Based on the multi-agent communication topology of the layered architecture, a block-based, heterogeneous, and dynamic information sharing network is constructed; by evaluating the environmental sensitivity of the neural network used in machine vision and the confidence of its output results, the information interaction requirements in collaborative perception are reduced, and multi-agent multi-view perception information fusion and semantic information fusion are realized. The visual AMR has beyond-line-of-sight perception and accurate positioning and navigation capabilities in dynamic and complex environments.

2.2 Multi-task collaborative optimization decision-making for large-scale visual AMR

By effectively integrating visual SLAM + laser SLAM + gyroscope/wheel speed meter and other methods to obtain information, there is no need for fixed points or magnetic navigation, and no fixed track or support for positioning is achieved, which improves stability, robustness and safety. Using a large-scale visual AMR flexible scheduling model, the ability to track the motion trajectory of dynamic objects is achieved, and by sharing information with surrounding intelligent entities and making full use of the assistance of equipment in the environment, global intelligent logistics is achieved.

2.3 Reinforcement Learning Strategy for Visual AMR with Region-Level Collaboration

Based on the information efficient aggregation and fusion method of multi-agent perception network, a group resource model is established to realize the aggregation of external perception information to the group resource space and the sharing of the group resource space to individual agents, and optimize the design of the collaborative reward mechanism and complex task decomposition scheme of reinforcement learning. A group collaboration optimization model is established, and the e-greedy method is used to explore and reinforce the simulation environment, reduce the interaction cost, and effectively improve the efficiency of large-scale multi-agent collaborative learning.

(3) Business prospects

Interact Analysis research predicts that the global mobile robot market is expected to exceed US$10.5 billion in 2023. Mobile robots for industrial applications will maintain a growth rate of more than 30% in the next five years, with the market adding more than 100,000 units in 2022 and more than 200,000 units in 2025.

As the only provider of visual navigation autonomous mobile robot (AMR) cluster dispatching system in China, Lingdong Technology has become the manufacturer with the largest shipment of visual autonomous mobile robots (AMR) in China in 2021, and ranks first in the Chinese market in terms of visual AMR shipments (GGII). In the next five years, according to the Technology Innovation Wall, Lingdong Technology's visual AMR orders will maintain a growth rate of 30%, and it is expected that by 2025, the market size of visual AMR will exceed 1.5 billion yuan.

Reasons for participation

The key technologies independently developed, such as full-scene visual semantic analysis and vision-based multi- sensor fusion high-precision positioning and navigation, have filled many technical gaps in the domestic visual AMR field, leading the mobile robot industry to cross the technological gap and initially establishing the core technical barriers in the visual AMR field; the independently developed multi-agent cluster scheduling system based on reinforcement learning has made the company one of the only three companies in the world that are capable of providing AMR intelligent cluster scheduling solutions in real application scenarios.

It can assist workers to realize autonomous handling in warehouses and factories, improve picking and handling efficiency, achieve a 400% increase in storage capacity, 6 times the UPPH during peak hours compared to manual operations, 99.99% delivery accuracy, 100% delivery timeliness, save 50% of warehouse workers, and effectively reduce the operating costs of the logistics industry. At the same time, the application of the products of this project can alleviate the shortage of logistics service supply caused by factors such as lack of labor in the logistics industry, which is conducive to promoting the reform of the supply side of logistics services and promoting industrial transformation and upgrading.

Company Introduction

Lingdong Technology is a world-leading visual navigation mobile robot (AMR) company, the largest order-to-person solution provider in Asia in terms of shipment volume and market share, and the only provider of automated picking solutions for medium-sized and small-sized warehouses. Lingdong Technology pioneered the "Lingdong Mode" order-to-person flexible picking solution in the industry, which has been launched in nearly 100 warehouses in China. At the same time, Lingdong Technology is also a nationally certified high-tech enterprise and a "specialized, sophisticated and innovative" little giant of the Ministry of Industry and Information Technology.

Voting time: The voting for this year's Veken Cup OFweek 2022 China Robot Industry Annual Selection "OFweek Robot Awards 2022" will enter the voting stage on February 1. Everyone is welcome to vote.

Voting address: https://www.ofweek.com/award/2022/robot/vote.html