摘要
围绕人工智能驱动的无人机人机协作平台展开研究,旨在解决传统无人机系统在复杂环境感知、实时决策与任务协同任务中存在的局限性。通过集成深度学习、强化学习及多模态人机交互技术,构建智能化协作框架,实现操作者与无人机在任务规划、状态感知与控制执行层面的高效协同。
Research is conducted on an AI-driven unmanned aerial vehicle(UAV)collaboration platform,aiming to address the limitations of traditional UAV systems in complex environment perception,real-time decisionmaking,and task collaboration.By constructing a collaborative framework based on deep learning,reinforcement learning,and multimodal interaction technologies,efficient collaboration between operators and drones in task planning,state perception,and control execution can be achieved.
作者
朱志鹏
罗晓刚
叶嘉信
田洋
高航
ZHU Zhipeng;LUO Xiaogang;YE Jiaxin;TIAN Yang;GAO Hang(Siyi Technology(Shenzhen)Co.,Ltd.,Shenzhen,Guangdong 518000,China)
关键词
人工智能
无人机
环境感知
实时决策
任务协同
AI
UAV
environmental perception
real-time decision-making
task collaboration
