ZJUNlict Extended Team Description Paper 2025
Zifei Wu, Lijie Wang, Zhe Yang, Shijie Yang, Liang Wang, Haoran Fu, Yinliang Cai, Rong Xiong

TL;DR
This paper details the ZJUNlict team's recent advancements in hardware integration and software optimization, significantly improving robot posture accuracy, decision-making efficiency, and predictive capabilities for high-tempo robotic soccer matches.
Contribution
The paper introduces integrated IMU hardware and optimized software modules, enhancing robot performance in dynamic soccer environments.
Findings
Improved posture accuracy and angular velocity planning with IMU integration.
Enhanced decision-making and prediction modules for fast-paced gameplay.
Significant efficiency gains in software modules like strategy and CUDA.
Abstract
This paper presents the ZJUNlict team's work over the past year, covering both hardware and software advancements. In the hardware domain, the integration of an IMU into the v2023 robot was completed to enhance posture accuracy and angular velocity planning. On the software side, key modules were optimized, including the strategy and CUDA modules, with significant improvements in decision making efficiency, ball pursuit prediction, and ball possession prediction to adapt to high-tempo game dynamics.
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Taxonomy
TopicsRobot Manipulation and Learning · Robotic Locomotion and Control · Robotic Mechanisms and Dynamics
