University of Seoul Department of Mechanical and Information Engineering Wins Grand Prize at Future Technology Challenge

Grand Prize at the CJ Logistics Competition
Demonstrating Excellence in Logistics AI Technology

The University of Seoul announced on August 7 that the 'UOS-RoboStack' team (Suhyeon Hong, master's student; Yeonjae Kim, senior; Yumin Lee, senior) from the Robotics Laboratory of the Department of Mechanical and Information Engineering won the grand prize at the awards ceremony of the 6th Future Technology Challenge, hosted by CJ Logistics. Another team from the same laboratory, 'UOS-CCTV' (Duin Kang, master's student; Seongbin Cho, master's student; Kanghyun Choi, master's student), secured third place.

Students from the Department of Computer Science and Engineering at the University of Seoul are posing for a commemorative photo holding the trophy and prize money after winning the grand prize at the "Future Technology Challenge 2026" hosted by CJ Logistics. University of Seoul

The CJ Logistics Future Technology Challenge, now in its sixth year, is a leading logistics technology competition in Korea, where participants propose ideas to solve real-world logistics problems using advanced technologies such as logistics robots, artificial intelligence (AI), and big data. This year's competition consisted of two assignments: a random palletizing algorithm and cargo object analysis based on CCTV footage. A total of 208 teams (338 students) from major universities and graduate schools nationwide took part, resulting in a highly competitive ratio of 104 to 1.

The UOS-RoboStack team, which won the grand prize, developed a robot-AI algorithm for the 'random palletizing algorithm' task, which calculated the most efficient and stable sequence and placement for loading cargo of various sizes and specifications in a physical simulation environment.

The grand prize-winning team will receive prize money of 10 million won, along with recruitment privileges such as exemption from the document screening and first-round interview stages when applying to CJ Logistics. The third-place team will also be granted exemption from the document screening stage.

Suhyeon Hong, the team leader, stated, "It was deeply meaningful to tackle real-world logistical challenges by leveraging our research experience in robot control and training algorithms. I sincerely thank my teammates, who worked tirelessly day and night despite the limited preparation time due to overlapping schedules, as well as our professors and senior members of the laboratory for their generous guidance and advice."

This content was produced with the assistance of AI translation services.