Aerial Interaction
Aerial interaction research focuses on enabling unmanned aerial vehicles (UAVs) to physically interact with their environment, moving beyond passive observation to perform tasks requiring contact and manipulation. Current efforts concentrate on developing robust control algorithms, often employing reinforcement learning or passivity-based approaches, and integrating advanced sensing modalities like distributed tactile sensors and vision-based systems for improved perception and force feedback. This field is significant for expanding UAV capabilities in diverse applications, such as infrastructure inspection, search and rescue, and human-robot collaboration, by enabling more complex and dexterous interactions.
Papers
Towards 6DoF Bilateral Teleoperation of an Omnidirectional Aerial Vehicle for Aerial Physical Interaction
Mike Allenspach, Nicholas Lawrance, Marco Tognon, Roland Siegwart
Human-State-Aware Controller for a Tethered Aerial Robot Guiding a Human by Physical Interaction
Mike Allenspach, Yash Vyas, Matthias Rubio, Roland Siegwart, Marco Tognon