Team introduction
The BigHeroX(Super Nenglu Team) team from the Hunan University Robot Workshop, known as "Chaoneng Lu Team" in Chinese, primarily participates in RoboCup competitions. Recently, they secured the runner-up in the 2023 China Robot Competition and RoboCup Robot World Cup China, and won the championship in the 2024 China Robot Competition and RoboCup Robot World Cup China. Additionally, they achieved First Place in the 2024 RoboCup Middle Size League Ambition Challenge and Second Place in the 2024 RoboCup Middle Size League Soccer Competition.
The name BigHeroX is borrowed from the movie BigHero3. In the movie, BigHeroX is a heroic team composed of talented young people with various special abilities and technical equipment, who bravely face challenges. This indicates that our team members are all talented young people with unique personalities and abilities, and we will eventually become a robot team of heroes who unite, cooperate, and bravely face challenges! The Chinese name "Yuelu" indicates that we come from the foot of Mount Yuelu and are an excellent team of Hunan University. In English, we changed "3" to "X", which in mathematics is an unknown quantity, a variable, and an independent variable that changes the overall pattern. As an unknown quantity, this indicates that in the future, our team members will undergo countless changes, including BigHero1, BigHero100, and BigHero10000. However, we will still maintain our original intention to be a brave Big Hero who faces challenges one by one! As a variable, it indicates that as an emerging Robocup MiddleSize team, we are a powerful dark horse on a global scale! As an independent variable, it indicates that we can take control of our own destiny and move towards becoming world champions step by step!
Qualification Certification
Team Description Paper
This is the team profile for BigHeroX in 2025.
Qualification Certification Video
The video is primarily from the 2024 RoboCup MSL, demonstrating our capability to meet the requirements of official competitions
If the video above is not playable, please click the link below to watch it.[YouKu Video]
Mechanical and Electrical
Software Framework Diagram
Publicaties
- [1] Y. Mao, Y. Wen, H. Chen and M. Liao, "Tungsten-oxide/liquid electrical-double-layer capacitive sensors and EIS characterization for liquid pressure monitoring, " IEEE Transactions on Instrumentation and Measurement, 2023(9), doi: 10.1109/TIM.2023.3309364.[PDF]Abstract—This study proposes a new type of soccer robot system, which has the potential of self-power supply and uses tungsten oxide in direct contact with liquid to accurately monitor liquid pressure. These technologies are used in soccer robots to monitor the pressure changes in the hydraulic system, so as to ensure the stability and accuracy of the robot in the game. In addition, tungsten oxide materials may be used in robot sensors or energy collectors to provide a self-powered energy source, thus prolonging its running time and function.
- [2] Y. Mao, Y. Wen, H. Chen, M. Liao and F. Zhang, Tungsten Oxide Flow Sensor and its Performance Regulation, in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-8, 2022, Art no. 9506608, doi: 10.1109/TIM.2022.3177202.[PDF]Abstract—this paper discusses the application of a new type of tungsten oxide flow sensor in soccer robot competition. The flow sensor can be used to monitor the fluid flow in the robot hydraulic system, so as to ensure its stability and efficiency. Performance tuning technology can be used to optimize various systems of robots to ensure their best performance in different competition scenarios. Scanning electron microscope-X-ray energy dispersive spectroscopy (SEM-EDS) characterization can be used to analyze and evaluate the material and structural properties of robot components, so as to guide the design and manufacturing process. The streaming potential technique may be used to measure the electric potential changes on or near the surface of the robot to detect the changes caused by fluid flow or robot motion. Tungsten oxide materials may be used to make sensors or energy collectors for robots to provide self-powered energy sources and enhance the function and independent operation of robots.
- [3] Haowen Chen, Qiang Qu, Yexiong Lin, Xia Chen, and Keqin Li, Authenticity verification on social data outsourcing, Computers & Security, volume 100, 102077, January2021[PDF]Abstract—We first propose an authenticity verification scheme called "FakeDetection" for one-dimensional data query. In order to improve the efficiency of our scheme, we further design an enhanced probability scheme "FakeDetection+", which uses some vertices and neighbors with the same file value to generate auxiliary information. The results show that in terms of detecting false activities, the FakeDetection+ scheme considers 69K edges (47m less than that of the FakeDetection scheme), and increases its probability to more than 99%. These technologies can be used in soccer robots to ensure the authenticity and credibility of data obtained from social networks and other sources. For example, soccer robots can use these technologies to detect and filter false data published on social media, such as player performance data or audience mood analysis, in order to improve the accuracy and reliability of their decisions and behaviors in games.
- [4] D. Tang, S. Zhou, H. Jiang, H. Chen and Y. Liu, Gender-Adversarial Networks for Face Privacy Preserving, in IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17568-17576, 15 Sept.15, 2022, doi: 10.1109/JIOT.2022.3155878.[PDF]Abstract—In order to solve the privacy protection and performance optimization in robot soccer matches, this paper proposes a novel gender confrontation network (Gender-AN), which provides gender privacy protection for facial images. These technologies can be used in soccer robots to protect the privacy of spectators or players collected during the game. Through the use of encoder-decoder antagonistic network (GAN) and other technologies, human face privacy can be protected to ensure that personal identity information is not disclosed in the process of monitoring and analysis, so as to provide effective data collection and analysis while respecting privacy.
- [5] Tang, D. Y. , Zhou, S. W. , Luo, M. R. , Chen, H. W. , & Tang, H. . (). A new discriminative sparse parameter classifier with iterative removal for face recognition. Journal of Central South University, 2022,29(4), 1226-1238.[PDF]Abstract**—In the process of robot facial recognition optimization, we propose a new classifier, called discriminant sparse parameter (DSP) classifier with iterative removal, for facial recognition. The techniques of classification based on collaborative representation, classifiers with discriminative sparse parameters, iterative deletion, sparse representation and two-stage test sample sparse representation in facial recognition are applied. These techniques can be used to identify and classify various elements of the game, such as players, referees or spectators, and to perform specific tasks, such as determining the position of the ball, identifying players, or monitoring the mood of spectators. Through these technologies, soccer robots can understand the game scene more accurately and make corresponding decisions and actions.