Special Issue "Autonomous Micro Aerial Vehicles: Methods and Applications"
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 25236
Interests: robotics and AI; control applications
Special Issues, Collections and Topics in MDPI journals
Special Issue in Machines: Machine Learning Based Methods for Safety and Control of Human–Robot Interaction
Special Issue in Drones: Selected Papers from the 2023 International Conference on Unmanned Aircraft Systems (ICUAS 2023)
Topics: Autonomy for Enabling the Next Generation of UAVs
Nowadays, micro aerial vehicles (MAVs) are gaining more and more attention from the scientific community, constituting a fast-paced emerging technology that constantly pushes its limits to accomplish complex tasks. The mechanical simplicity and agility of these platforms as well as their capabilities to reach remote distant or inaccessible places, place them in the forefront of robotic advancements. Moreover, endowing MAVs with proper sensor suites, will establish them as a powerful aerial tool for a wide span of applications, in infrastructure inspection, public safety surveillance, search and rescue missions, and in the mining industry. MAVs have the profound potential to decrease the risks to human life, decrease the execution time and increase the efficiency of the overall process, especially when compared to conventional methods.
Integrating aerial robots to operate in close collaboration with human operators provides a strong motivation to develop reliable autonomous systems that can operate safely when deployed. Hence, there is still a need for reliability in several key enabling technologies to achieve safe and robust autonomous aerial systems, such as localization, navigation, and planning. Therefore, this Special Issue focuses on the technological platforms that require novel and combined research and innovative contributions in the fields of mechatronics, control, dexterous manipulation, localization, perception systems, planning, and the multi-agent collaboration of aerial agents, bringing aerial robots closer to real-life challenging applications.
Topics of interest include (but are not limited to):
- Autonomous aerial robot applications for key enabling technologies
- Collaborative robots for performing complex tasks
- Dexterous aerial manipulation
- Sensor fusion for robust localization
- Autonomous navigation, mapping, and SLAM
- Novel planning and coverage methods
- Obstacle avoidance methods
- Multi-agent planning, mapping and localization methods
- Vision-based control and visual serving
- Object recognition, tracking, semantic and 3D vision techniques
- Advanced sensors (event-based) and mechanisms (end-effectors, solid state sensors)
- Reinforcement learning autonomous task execution
Prof. Dr. George Nikolakopoulos
Manuscript Submission Information
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- Autonomous MAVs
- Control, Perception
- Aerial Manipulation
- Multi Aerial Agents
- Reinforcement learning
- Object detection and tracking