近日，2026世界人工智能开源大赛（GOAI）全球总决赛在杭州落幕。本次大赛吸引了全球91个国家和地区超1.4万名开发者踊跃参与，汇聚全球科创力量，竞技水准位居国际前沿。经过两个多月层层选拔与激烈角逐，重庆大学“蘑菇队”从全球2999支高校及企业参赛队伍中强势突围，斩获“具身未来”赛道“产业园区全地形巡逻挑战赛”赛题全球冠军，在国际科创舞台上充分展现了重大学子过硬的创新能力与扎实的工程素养。
Recently, the global finals of the 2026 Global Open-source AI Challenge (GOAI) concluded in Hangzhou. The competition attracted more than 14,000 developers from 91 countries and regions, bringing together global innovation and technological talent and showcasing cutting-edge international competition. After more than two months of selection rounds and intense competition, Chongqing University's “Mushroom Team” emerged victorious among 2,999 university and corporate teams worldwide, winning the global championship in the “All-Terrain Patrol Challenge for Industrial Parks” under the “Embodied Intelligence of the Future” track. Their achievement highlights Chongqing University students' strong innovative capabilities and solid engineering expertise on the international stage.
世界人工智能开源大赛总决赛颁奖典礼
Awards ceremony at the Global Open-source AI Challenge finals
本次夺冠的“蘑菇队”由来自光电工程学院先进传感与智能健康研究室熊逍潇、胡新杰和周伟鹏三位同学组成。团队依托重庆大学本科生院学生交叉创新中心多足仿生机器人实验室、光电工程学院优质科研平台，在李敏、刘俊、秦岚等多位老师的悉心指导下，深耕技术打磨、反复调试优化，攻坚克难、全力以赴，凭借稳定的技术表现在全球激烈竞争中斩获殊荣。
The winning Mushroom Team consists of three students—Xiong Xiaoxiao, Hu Xinjie, and Zhou Weipeng—from the Advanced Sensing and Intelligent Healthcare Laboratory at the College of Optoelectronic Engineering. Supported by the Multi-legged Bionic Robotics Laboratory at the Student Interdisciplinary Innovation Center of Chongqing University's Undergraduate School and the College of Optoelectronic Engineering's research facilities, the team refined its technology and repeatedly tested and optimized its system under the dedicated guidance of faculty members including Li Min, Liu Jun, and Qin Lan. Through perseverance and teamwork, the students overcame technical challenges and secured the title with consistently strong performance amid fierce global competition.
蘑菇队（左起 周伟鹏 胡新杰 熊逍潇）与比赛用机器狗
The Mushroom Team (from left: Zhou Weipeng, Hu Xinjie, and Xiong Xiaoxiao) with the robotic quadruped used in the competition
一直以来，重庆大学高度重视学生科技创新人才培养，深耕实践育人体系，始终坚持以赛促学、以赛促创、以赛促研，坚持搭建高水平科创竞赛与实践平台，鼓励学生立足前沿、敢闯敢创、知行合一。此次斩获国际赛事冠军，既是团队师生日夜钻研、并肩拼搏的丰硕成果，也是学校在机器人传感技术与智能机器人领域科创实力的有力彰显，更标志着学校在国际机器人竞技领域取得历史性突破，充分印证了学校实践育人、交叉创新人才培养的显著成效。未来，学校将持续深耕科创育人沃土，助力更多重大学子在前沿科技领域突破创新、斩获佳绩。
Chongqing University has long prioritized the development of students' scientific and technological innovation capabilities and continuously strengthened its practice-based education system. The university promotes learning, innovation, and research through competitions while providing high-level platforms for technological contests and hands-on experience. It encourages students to explore emerging fields, embrace challenges, pursue innovation, and put theory into practice. This international championship is not only a remarkable achievement made possible by the team's dedication and collaboration with its faculty mentors, but also a testament to the university's strengths in robotic sensing technologies and intelligent robotics. It marks a historic breakthrough for Chongqing University in international robotics competitions and demonstrates the effectiveness of its practice-oriented education and interdisciplinary talent development. Looking ahead, the university will continue to foster innovation and help more students achieve breakthroughs and excellence in cutting-edge technological fields.
央视新闻报道
Coverage by CCTV News
2026世界人工智能开源大赛以“Open. Share. Build.”为核心理念，设立新智基座、无界应用、前沿探索、具身未来四大赛道，广泛汇聚全球开发者、顶尖科研机构、开源社区与产业资源，搭建人工智能领域创新交流与成果转化平台，全力推动AI前沿技术创新与产业落地。其中，“具身未来”赛道产业园区全地形巡逻挑战赛聚焦真实产业应用场景，要求智能机器人在复杂园区环境中自主完成全流程巡逻任务，重点考核机器人的地形适配、动态平衡、智能感知与自主决策等核心能力。
The 2026 Global Open-source AI Challenge is guided by the core principles of “Open. Share. Build.” It features four tracks: Foundational AI Models, Boundless Applications, Frontier Exploration, and Embodied Intelligence of the Future. By bringing together developers from around the world, leading research institutions, open-source communities, and industry resources, the competition provides a platform for innovation, exchange, and the practical application of achievements in artificial intelligence, advancing cutting-edge AI technologies and their industrial adoption. The All-Terrain Patrol Challenge for Industrial Parks, part of the Embodied Intelligence of the Future track, focuses on real-world industrial applications. It requires intelligent robots to autonomously complete end-to-end patrol missions in complex industrial park environments, evaluating core capabilities such as terrain adaptability, dynamic balance, intelligent perception, and autonomous decision-making.
