About this Research Topic
The evolution of control techniques has facilitated the creation of agile and stable UAV platforms, thereby enabling precise maneuvers and heightened responsiveness. Perception technologies, entailing the fusion of computer vision and sensor integration, have substantially enhanced UAVs' capacity to comprehend their surroundings, circumvent obstacles, and engage with objects. Path planning algorithms play a pivotal role by facilitating optimal route selection for UAVs, meticulously considering variables like terrain, weather conditions, and mission objectives.
UAV traffic management has emerged as a pivotal realm due to the escalating count of UAVs that share airspace. Researchers are intently crafting frameworks to ensure secure and systematic UAV operations, seamlessly integrating them into existing aviation frameworks. Cumulatively, advancements in these spheres are actively shaping the future prospects of UAV applications, opening avenues for their assimilation into daily operations while preserving a high standard of safety and efficiency.
Authors are welcome to submit articles into 5 major categories, namely:
1.) Advances in Dynamics and Control of Unmanned Aerial Vehicles
2.) Advances in Perception of Unmanned Aerial Vehicles
3.) Advances in Path Planning Algorithms for Unmanned Aerial Vehicles
4.) Traffic Management Algorithms for Unmanned Aerial Vehicles
5.) Multiple Categories
For articles that are a mix of two or more aforementioned categories, the authors are required to select the "Multiple Categories" option for review. The authors are welcome to publish original research articles and review papers for each of the categories mentioned above, keeping the following in mind:
• Original research articles are expected to introduce a novel algorithm within the domain of Dynamics, Control, Perception, and Path Planning of Unmanned Aerial Robotic Systems and UAV Traffic Management. Alternatively, authors can opt to present empirical findings supported by extensive numerical simulations and/or real-time experiments, verifying an existing theory. It is crucial to underscore that authors are required to present outcomes that clearly elucidate the characteristics of the algorithm proposed in the article.
• In review articles, authors must convey the importance of their chosen topic and offer a comprehensive overview of the current body of literature. Each review should include a thorough chronological account of the topic's evolution throughout the years. Moreover, authors have the liberty to contribute their perspectives and innovations by addressing the limitations of the existing literature.
Keywords: Unmanned Aerial Vehicles, Control of Aerial Robots, Swarming of Aerial Robots, Visual Servoing of Aerial Robots, Role of AI in control of Aerial Robots, Path Planning for Aerial Robots, UAV Traffic Management
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.