4 accepted papers
The development of unmanned aerial vehicles (UAVs) with extended maneuverability has unlocked new applications such as complex inspection tasks at height. In this work, we introduce the Dragonfly drone, a novel tilt-rotor body-morphing UAV, capable of altering its shape and orientation without compr
Unmanned aerial vehicles (UAVs) for contact-based tasks at height can greatly improve the safety of the human workers involved. However, performing contact-based tasks with typical under-actuated UAVs is non-trivial. Due to their coupled translational and rotational dynamics and their limited statio…
Aerial filming is constantly gaining importance due to the recent advances in drone technology. It invites many intriguing, unsolved problems at the intersection of aesthetical and scientific challenges. In this work, we propose a deep reinforcement learning agent which supervises motion planning of…
One of the major challenges of model predictive control (MPC) for robotic applications is the non-trivial weight tuning process while crafting the objective function. This process is often executed using the trial-and-error method by the user. Consequently, the optimality of the weights and the time…