Perception and Control of Intelligent Unmanned Aerospace Systems (Submission Deadline: June 1, 2026)
空天智能无人系统感知与控制
| Chairs: |
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| Weiran Yao |
Guanghui Sun |
| Harbin Institute of Technology, China |
Harbin Institute of Technology, China |
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| Keywords: |
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- Intelligent Perception (智能感知)
- Autonomous Unmanned Systems (自主无人系统)
- Unmanned Aerospace Systems (空天无人系统)
- Mission Planning (任务规划)
- Unmanned Aerial Vechicles (无人机)
- Space Robots (空间机器人)
- Swarm Intelligence (群体智能)
- Intelligent Control Systems (智能控制系统)
- Spacecraft (航天器)
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| Topics: |
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- Multimodal Intelligent Perception and Fusion for Aerial-Space Unmanned Systems in Complex Environments (复杂环境下空天无人系统多模态智能感知与融合)
- Autonomous Environment Understanding and Scene Modeling for Aerial-Space Unmanned Systems (面向空天无人系统的自主环境理解与场景建模)
- Cooperative Perception, Communication and Distributed Control of Unmanned Swarms (无人集群协同感知、通信与分布式控制)
- Robust Control and Safe Decision-Making for Intelligent Aerial-Space Unmanned Systems in Adversarial Environments (空天智能无人系统对抗环境下的鲁棒控制与安全决策)
- Deep Reinforcement Learning for Trajectory Planning and Obstacle Avoidance of Aerial-Space Unmanned Systems (深度强化学习在空天无人系统轨迹规划与避障中的应用)
- Cross-Domain Cooperative Perception and Dynamic Target Tracking for Aerial-Space Unmanned Systems (空天无人系统跨域协同感知与动态目标跟踪)
- Edge Intelligence-Based Onboard Real-Time Perception and Autonomous Control (基于边缘智能的机载实时感知与自主控制)
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| Summary: |
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- Unmanned aerospace systems have received extensive attention in the past few years. Compared with regular unmanned system, unmanned aerospace systems have stronger task execution capability and practical application value in aerospace scenarios. However, autonomous decision-making and collaboration in intelligence and swarm, aerospace scenarios have brought new challenges. Intelligent perception in complex task environment, data-driven modeling and identification of complex unmanned system, multi-stage hybrid model of multimodal homogeneous/heterogeneous unmanned systems, collaborative perception and detection, swarm intelligence, complex task allocation and control systems and other technologies still need to be studied.
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- 近年来，无人航空航天系统受到了广泛关注。与常规无人系统相比，无人航空航天系统在航空航天场景中具有更强的任务执行能力和实际应用价值。然而，航空航天场景中的智能与集群自主决策与协作带来了新的挑战。在复杂任务环境中的智能感知、复杂无人系统的数据驱动建模与识别、多模态同质/异质无人系统的多阶段混合模型、协同感知与检测、群体智能、复杂任务分配与决策等技术仍需深入研究。
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