Logistics Technology (Crane) Creative Competition of

Chinese College Students

Competition Introduction

Logistics Technology (Crane) Creative Competition[中国大学生物流技术(起重机)创意大赛] is one of the series of professional events "China Student Mechanical Engineering Innovation and Creativity Competition" organized by the Chinese Mechanical Engineering Association. The competition is included in the "List of Judging Evaluation and Competition of the Ministry of Education (2021 Edition)" of the national college students' scientific and technological innovation competitions and belongs to the Ministry of Education's A class disciplinary competitions, which is one of the most influential national college students' scientific and technological innovation competitions.

The participating teams are required to design and build a crane robot, based on machine vision, to identify the objects with specific color and shape markings in the fixed picking area, and then move the objects from the picking area to the stacking area by the rules of the road utilizing an autonomous and orderly control method.

School level competition

Xingke Yang and his team members (Junze Li, Jinyang Zhang, Chuning Tan, Ailong Luo) signed up for the competition in July 2021 and spent three months of research and development to create a door-mounted lifting robot, which competed in October 2020 at the university level. A total of 20+ teams from Southwest Jiaotong University (SWJTU) completed the project and participated in the competition, and Xingke Yang's team's crane got one of the five spots to participate in the national competition by the speed and accuracy with which it accomplished the lifting task.

National level competition

The national round of the competition was held in November 2021, and 166 entries from 52 colleges and universities eventually made it to the national finals. Xingke Yang's team's entry ultimately achieved 8th place, winning the National First Prize. It is worth mentioning that this ranking involves some deductions for human error, but based on the time taken by the machine to complete the task alone, we ranked 1st in the country with a completion speed of 40 seconds.
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