步兵机器人
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从赛场到产业:RoboMaster机甲大师赛如何锻造未来工程师?
Huan Qiu Wang Zi Xun· 2025-08-05 07:57
来源:环球网 【环球网低空经济 记者 赵汗青】2025年8月3日,第二十四届全国大学生机器人大赛 RoboMaster 2025 机甲大师超级对抗赛·全国赛(RMUC 2025)在深圳正式收官。上海交通大学交龙战队获得全国总冠 军;中国科学技术大学 RoboWalker 战队、华南理工大学华南虎战队、东北大学 TDT 战队分别获得亚、 季、殿军。比胜负更值得关注的是,参赛的大学生们从这里学到许多书本上没有的知识,赛事比拼的各 种机器人技术也有很大的实用化潜力。 RoboMaster 2025 机甲大师超级对抗赛的赛场上有7种机器人,分别是英雄机器人、步兵机器人、空中机 器人(无人机)、工程机器人、哨兵机器人、飞镖系统、雷达,参赛双方操作它们分工合作,在比赛场 地内进行射击战术对抗,比赛结束时,基地剩余血量更高的一方获胜。这些机器人都是真实的、且是由 参赛高校团队自主研发和打造的,每到比赛间隙,参赛的学生们还会拿着钳子、螺丝刀等各种工具去紧 急抢修它们,所以该赛事也是一场机器人竞技与学术交流盛宴。 高校青年工程师的激情对决 真实的机器人对抗赛,可以用技术手段去"开挂",例如上海交通大学交龙战队的步兵机器人搭载边 ...
最前线|RoboMaster 2025机甲大师超级对抗赛收官,从高校开始以赛促学
3 6 Ke· 2025-08-05 07:54
Core Insights - The RoboMaster 2025 competition concluded with Shanghai Jiao Tong University's team winning the national championship, highlighting the event's role in fostering innovation and talent in robotics [1] - The competition emphasizes practical applications of robotics technology, with advancements in areas such as machine vision, embedded systems, and autonomous navigation [1][2] Group 1: Technological Advancements - The 2025 season focused on the iteration of various robot technologies, particularly in terrain adaptability and control algorithms, enhancing capabilities like overcoming height differences and self-resetting after falls [1] - Teams utilized advanced technologies such as edge computing and neural networks for real-time target recognition and predictive analytics, improving combat performance and exploring applications in complex environments [2] - The introduction of aerial robots aimed at lightweight and high payload capabilities, with notable performance from the China University of Petroleum (East China) team, which developed a drone weighing only 12.4 kg with a 5 kg payload capacity [3] Group 2: Educational and Employment Impact - Participation in RoboMaster significantly boosts employment opportunities for students, with nearly 100% employment rates reported among participants, and many tech companies prioritizing candidates with RoboMaster experience [3] - The competition encourages students to transform innovative ideas into commercial ventures, leading to the establishment of startups that leverage the technologies and experiences gained during the competition [3] - RoboMaster has contributed to educational reform, promoting the "learning through competition" model as a valuable complement to traditional education methods [3]
RoboMaster 2025机甲大师超级对抗赛全国赛收官
Huan Qiu Wang Zi Xun· 2025-08-03 13:44
Core Insights - The RoboMaster 2025 National Competition concluded with Shanghai Jiao Tong University's team winning the championship, while teams from the University of Science and Technology of China, South China University of Technology, and Northeast University secured the second, third, and fourth places respectively [1][3]. Group 1: Technological Advancements - The competition showcased significant advancements in robot technology, particularly in the development of bipedal robots capable of navigating complex terrains, including stair climbing and self-resetting after falls [3]. - Teams focused on optimizing structures and algorithms to enhance robot load capacity, mobility, and adaptability to various terrains, which aligns with practical applications in security inspections and disaster rescue [3][5]. Group 2: Application of AI and Algorithms - The champion team's robot utilized edge computing and neural networks for enemy armor recognition and motion prediction, enhancing its combat capabilities and exploring applications of deep learning in dynamic environments [5]. - The runner-up team implemented laser radar and advanced algorithms for autonomous navigation, obstacle avoidance, and multi-machine communication, addressing complex offensive and defensive strategies [5]. Group 3: Educational Impact - The competition provided participants with a comprehensive engineering experience, requiring them to engage in demand analysis, design, prototyping, and iterative optimization, simulating real-world challenges in research and industry development [5][7]. - This "full-process practical" model prepares students for future careers in intelligent security, disaster rescue, and low-altitude economy sectors, establishing a solid foundation for practical application [7].