摘要
RMUA机甲大师高校人工智能挑战赛是RoboMaster系列赛中的一个比赛。参赛队伍需要设计出能够根据场上形势自主决策,进行运动规划与控制的机器人。基于该比赛提出的“全自动机器人对抗射击”的要求,本文基于在可信距离范围内机器人底盘规避和云台瞄准同步控制,提出了一种可自动寻敌与攻击机器人的设计方案。
RoboMaster University AI Challenge(RMUA)is a series of competitions held by RoboMaster. Competitors are needed to design robots featuring automatic functions and controls. In the competition, robots are required to fight each other automatically. According to this very requirement, the author designs a robot that can automatically locate and attack enemies through synchronous control of chassis dodging and gimbal aiming within trusted distances.
作者
黄俊曦
徐非凡
陈湘骥
陈浩铭
Huang Junxi;Xu Feifan;Chen Xiangji;Chen Haoming(School of Mathematics and Information,South Agricultural University,Guangzhou 510642)
出处
《现代计算机》
2022年第4期107-111,共5页
Modern Computer
基金
校级大学生创新创业训练计划项目(X202110564069)。
关键词
图像识别
轨迹预测
重力补偿
RMUA
image recognition
trajectory prediction
gravity compensation
RMUA
