Events | The 25th China Robotics and Artificial Intelligence Competition National Final List Released

The 25th China Robotics and Artificial Intelligence Competition was successfully held

From June 13th to 14th, 2023, the 25th China Robotics and Artificial Intelligence Competition was successfully held at Hainan Vocational University of Science and Technology. The competition is sponsored by the Chinese Association for Artificial Intelligence. More than 500 universities from Tsinghua University, Harbin Institute of Technology, University of Science and Technology of China, Xi'an Jiaotong University, etc. entered the national finals, bringing cutting-edge robotics and artificial intelligence technologies, online and offline Start the peak duel.

#01

"500+ colleges and universities compete on the same stage"

As one of the competitions sponsored by the Chinese Association for Artificial Intelligence, the China Robotics and Artificial Intelligence Competition has gradually become one of the largest, most influential and professional robot competitions in China, and belongs to the national A-level competition . Compared with previous years, the scale of the 25th competition has further increased, and the competition items include innovation, competition, application, and task challenge.

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Among them, the robot mission challenge (unmanned collaborative system) undertaken by Feisi Laboratory is one of the key competitions of this competition. There are two core tasks: (1) virtual simulation competition (2) practical flight competition, A total of 32 teams from across the country entered the finals. The finals were carried out around the field of collaborative application of unmanned intelligent bodies, and comprehensively investigated multiple technologies such as autonomous obstacle avoidance, pointing flight, track planning, and collaborative control, to further promote the close integration of scientific research and education, and empower intelligent unmanned systems. The innovative development of swarm intelligence.

#02

"Virtual Simulation + Practical Flight Differentiation Research Technical Points"

The virtual simulation competition in this competition adopts the simulation environment of RflySim, and the contestants are required to control the drone to take off from the take-off point and pass through two obstacles in the simulation session through autonomous/manual control, and land smoothly on the car. to complete the game.

The virtual simulation competition focuses on the control and path planning of drones.

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The practical flight competition in the competition requires the drone to take off autonomously/manually from the take-off point of the aircraft, bypass the obstacles in the middle partition, and the flight route is not limited. When it arrives near the track of the car, the drone autonomously recognizes the car The two-dimensional code of the aircraft will automatically land all the landing gear of the aircraft on the walking (or static) car, and test the technical capabilities of the participating teams such as autonomous obstacle avoidance, pointing flight, track planning, and coordinated control.

 After fierce competition, finally, in the robot task challenge, the team from Dalian University of Technology won the championship. Their outstanding innovation ability and spirit of cooperation won them honor. The rest of the teams also showed excellent strength and innovative thinking, and all won awards and awards.

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The successful conclusion of this competition not only demonstrated the latest scientific research results and technical strength in the field of robotics and artificial intelligence, but also promoted exchanges and cooperation between different universities. By participating in the competition, the students not only exercised their hands-on ability and teamwork spirit, but also broadened their horizons and gained a deeper understanding of the field of robotics and artificial intelligence. In the future, Phase One Lab will continue to deepen the field of unmanned intelligence, accelerate the process of product research and development, help the development of artificial intelligence and robot industries, and provide a strong driving force for promoting unmanned intelligence research and education.

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Origin blog.csdn.net/FEISILAB_2022/article/details/132214054