微分智飞高飞：我们正处于通用飞行智能爆发前夜丨GAIR 2025

Core Viewpoint - The article discusses the advancements and challenges in the field of intelligent flying robots, emphasizing the potential of embodied intelligence and the need for decentralized systems in drone technology [2][4][22]. Group 1: Vision and Evolution of Flying Robots - The vision for intelligent flying robots is to create autonomous platforms that can operate safely and intelligently in complex environments, leveraging AI for decision-making [7][10]. - The evolution of drone technology has transitioned from manual control to autonomous capabilities, with significant milestones achieved since 2015, including obstacle avoidance and autonomous navigation [9][10]. Group 2: Challenges in Sky-End Embodied Intelligence - Unique challenges for flying robots include limited data availability for training, as collecting high-precision flight data is impractical due to safety risks and the need for skilled pilots [12][14]. - The complexity of environments where drones operate necessitates algorithms that can generalize across diverse scenarios, requiring advanced environmental modeling [14][15]. - Drones are susceptible to disturbances and have zero tolerance for errors during flight, making robust dynamic response capabilities essential [15][16]. Group 3: Team's Focus and Industry Progress - The team's work is categorized into several areas: environmental perception, control systems, decision-making, group collaboration, and integrated flight operations [18][20]. - The goal is to overcome traditional flight control limitations and achieve high dynamic limits for drone operations, enabling real-time decision-making and adaptability [20][21]. Group 4: Five-Dimensional Technology System - The development of a lightweight, multi-tasking control system is underway, utilizing simulation-to-reality techniques to enhance drone performance in real-world scenarios [25][27]. - The team is focused on creating a generalizable decision-making framework that can adapt to various drone types and operational contexts, aiming for cross-domain applicability [30][31]. Group 5: Applications and Future Directions - The article highlights the potential applications of flying robots in complex environments, such as autonomous exploration and data collection without GPS or human intervention [33][35]. - The emphasis on distributed systems allows for flexible and adaptive group behaviors, ensuring that individual drones can operate independently while contributing to collective goals [37][38]. - Future developments aim to enhance the interaction capabilities of drones, enabling them to perform tasks that require both mobility and manipulation, such as delivering items [42][43].