Jiashun Intelligence: Looking at the development of AGV technology from the perspective of 618 Jingdong distribution robots

OFweekRobotOn June 18, CCTV’s “Economic Half Hour” reported on JD.com’s Robot delivery, which successfully completed the first delivery task at Renmin University of China. According to relevant introductions, this mobile Robot (AGV) can walk when fully charged. About 20 kilometers, it can evade autonomously when encountering obstacles. The laser sensing system on the unmanned roof will automatically detect pedestrians in front, and will automatically stop to avoid obstacles. It can climb a 25-degree uphill with a load capacity of about 500 kilograms. It can pass through Jingdong. The consignee is notified by APP, mobile phone text message, etc. The consignee can enter the delivery code to open the warehouse of the delivery robot and take away his own package.

Jiashun Intelligence: Looking at the development of AGV technology from the perspective of 618 Jingdong distribution robots

Judging from the video of the program, the overall effect of the first trial operation of the JD.com distribution robot should be that the publicity effect is greater than the actual application effect, and it also fully demonstrates the current direction of China’s AGV application technology that needs to be broken through:

1. Parking and obstacle avoidance is developing towards automatic bypassing and obstacle avoidance

In the footage of the video, the staff are in front of each other, and some staff have been following behind the robot with the remote control device. When they encounter someone in front of them, the staff will take the initiative to step forward and let pedestrians avoid the robot. Obviously, this mobile distribution robot (AGV) has no automatic obstacle avoidance and bypass function but stops and waits. This is also the current status of AGV car technology. The future trend will fully realize the automatic obstacle avoidance and bypass function.

2. The overall driving speed of AGV needs to be improved

Jiashun Intelligence: Looking at the development of AGV technology from the perspective of 618 Jingdong distribution robots

In the video, the speed of the JD.com delivery robot is indeed very slow, which is significantly lower than the speed of pedestrians. According to the on-site staff, the fastest speed of the robot is similar to that of an electric vehicle, which obviously does not reach the expected speed. At present, the driving speed of AGV trolleys is generally slow. The AGV trolleys used in workshop logistics travel at a speed of 0-45m/min. In the future, whoever AGV will double the speed while ensuring safety, stability and accuracy, it will It will break the current AGV industry pattern.

3. Climbing ability and stability

Jiashun Intelligence: Looking at the development of AGV technology from the perspective of 618 Jingdong distribution robots

The video shows that when the delivery robot passes the speed bump, in addition to the slow speed reduction, there is also obvious shaking, which gives the impression that the chassis is unstable and may overturn at any time. If it is in more complicated road conditions, it may not be possible. Drive normally. At present, domestic AGVs generally do not have a large climbing ability. When faced with a workshop with a certain slope and the outdoor distance between the workshop and the workshop, there are major deficiencies in technical application. In the future, who solves this problem will be Will get more customer resources.

4. Outdoor positioning accuracy

During the delivery process, the delivery robot will travel according to the preset track and be at a position 100 meters away from the receiving point. However, during the test session, the delivery robot unfortunately has many deviation failures, and the deviation distance is as high as more than 20 meters. In the indoor workshop environment of Jiashun AGV, the parking accuracy of AGV is within plus or minus 10mm. If future AGV companies make breakthroughs in outdoor positioning accuracy, they will gain more resources in this increasingly cruel competition.

Published on 09/17/2022