5 accepted papers
Multirotor aerial vehicles (MAVs) in confined, dynamic indoor environments need reliable planning capabilities to avoid moving pedestrians. Current MAV trajectory planning algorithms often result in low success rates or unnecessary constraints on navigable space. We propose a multi-stage local traje
As fully-actuated systems, omnidirectional multirotor aerial vehicles (OMAVs) have more flexible maneuverability and advantages in aggressive flight in cluttered environments than traditional underactuated MAVs. This letter aims to achieve safe flight of OMAVs in cluttered environments. We present a
Maintaining stability after catching an object is essential for the flight safety of unmanned aerial manipulators (UAMs). Current research on UAM catching stationary or moving targets neglects the impact of the target and the introduced center of mass (COM) displacement. This letter proposes an appr
Actively planning sensor views during object reconstruction is crucial for autonomous mobile robots. An effective method should be able to strike a balance between accuracy and efficiency. In this letter, we propose a seamless integration of the emerging implicit representation with the active recon
Micro aerial vehicles usually have strap-down sensors on the vehicle body, leading to the severe coupling effect between perception and trajectory planning. As a result, visual-inertial simultaneous localization and mapping (VI-SLAM) technologies implemented on MAVs suffer from tracking failure prob…