Key Technologies for Data-Driven Autonomous Unmanned Systems
数据驱动下自主无人系统关键技术
Chair: | Co-chairs: | ||
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Guixian Qu | Jiang Wu | Kan Guo | Yang Si |
Beihang University, China | Beihang University, China | Beijing University Of Technology, China | Beijing Wuzi University, China |
Keywords: | Topics (including but not limited to): |
· Data-Driven Control (数据驱动) · Autonomous Unmanned Systems (自主无人系统) · Sensor Fusion (传感器信息融合) · Digital Twin (数字孪生) | · Intelligent Perception Technology for Unmanned Systems (无人系统智能感知技术) · Complex Systems Health Management Technology (复杂系统健康管理技术) · Multi-Agent Coordination and Task Allocation (多智能体协同与任务分配) |
Summary:
· This call for papers invites contributions on "Key Technologies for Data-Driven Autonomous Unmanned Systems", aiming to compile state-of-the-art research and application results that advance the integration and collaborative innovation of perception, decision-making, planning, and execution in drones, ground robots, and underwater vehicles. Topics of interest include, but are not limited to: multi-sensor information fusion and situational awareness; machine learning-based path planning and obstacle avoidance; edge computing for real-time decision support; digital-twin-enabled health monitoring and predictive maintenance; and multi-agent coordination and task allocation.
· 本征稿专题聚焦于“数据驱动下自主无人系统关键技术”，旨在汇集最新的理论与实践成果，推动无人机、地面无人车、无人水下航行器等自主平台在感知、决策、规划与执行各环节的深度融合与协同创新。主要涵盖但不限于以下方向：多源传感信息融合与态势感知、基于机器学习的路径规划与避障、边缘计算与实时决策、数字孪生驱动的健康监测与预测维护，以及多智能体系统的协同控制与任务分配方法等。
Submission Deadline: 2025/8/30