XJTLU Robotics Team Scoops 2nd in National Intelligent Car Competition

By Sponsored, October 13, 2021

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Two teams of Xi’an Jiaotong-Liverpool University (XJTLU) students recently showed off their skills at the iFLYTEK Intelligent Restaurant Session of the 16th National University Students Intelligent Car Race at Lanzhou University. 

XJTLU’s two teams – Hahaha Team and Yuezhan Yueyong Team – were recruited during the XJTLU Entrepreneur College (Taicang)’s annual program that gives students practical, real-world skills to help their future careers. The College’s professional development programs include activities like site visits, workshops, guest lectures and technical training. 

IFLYTEK, headquartered in Hefei in Anhui province, is a specialist in artificial intelligence technologies and one of the College’s industry partners. The company provided Year Two students with training sessions and practical guidance on intelligent vehicles during their session over the summer, which culminated in the competition.

Hahaha Team captain, Yida Wang, says he jumped at the chance to participate in the competition after last summer’s program. “Last year’s enterprise tours gave me new insight into the R&D focuses of various companies. I was amazed by iFLYTEK’s speech recognition system.”

In addition to Wang, Hahaha Team consisted of Xinyu Zhang, Jiashu Zhang, Fudong Cui and Hongyu Bian, all students from XJTLU’s BEng Data Science and Big Data Technology with Contemporary Entrepreneurialism program. 

Yuezhan Yueyong Team, which consisted of two students from XJLTU’s School of AI and Advanced Computing and three from the University’s Department of Computing, won third prize in the first round of the competition. 

Dr. Huakang Li, from the School of AI and Advanced Computing, mentored both teams.

1295185243.jpgFrom left to right: Dr. Huakang Li, Hongyu Bian, Fudong Cui, Jiashu Zhang, Xinyu Zhang, Yida Wang

Skills Gained

The tasks set out by the competition brief focused on catering distribution and involved using a robot operating system and AI recognition algorithms. The race saw participants navigating through a course with tasks including automatic obstacle avoidance, dish distribution, QR code recognition, facial recognition and voice broadcasting.

Some of the tasks, like facial recognition, were outside the scope of knowledge of Year Two students, but Dr. Li was there to help them make up for the shortfall by guiding them to the right resources and helping them teach themselves. 

Obstacles Overcome

But the competition was not without its challenges. 

The night before the race in Lanzhou, the team encountered a thorny problem – the vehicle could not recognize the required QR code.

“At first, we thought it was a light problem that resulted in a recognition failure in the camera,” says Wang. “However, after constant debugging, we finally found the culprit – a code-matching problem. It was getting late, and we were starting to worry! Luckily we solved the problem at 10pm and saved the next day.”


Lessons Learned

In addition to practical skills, the competition taught the participants valuable lessons for their future careers.

Xinyu Zhang says, “I’ve learned that when encountering a failure, we should try to adjust our mindsets and move forward quickly, rather than fall apart when a problem arises.”

She also says that before the competition, she used to be embarrassed to ask questions and instead would try to solve problems independently. 

Jiashu Zhang shares her advice to students nervous about entering technical degree programs like those XJTLU offers: “The important thing when trying something new is just to do it! Before doing this competition, I didn’t have any experience writing code. But doing the professional development program gave me new insight. And I discovered that artificial intelligence is not as intimidating and difficult as I first thought. After the program, I feel more confident about my future career.”

To learn more about XJTLU’s Entrepreneur College (Taicang), scan the QR code:


[All images provided by School of Artificial Intelligence and Advanced Computing]

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