English

Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality

Robotics 2024-04-09 v2 Systems and Control Systems and Control

Abstract

Aerial robots have the potential to play a crucial role in assisting humans with complex and dangerous tasks. Nevertheless, the future industry demands innovative solutions to streamline the interaction process between humans and drones to enable seamless collaboration and efficient co-working. In this paper, we present a novel tele-immersive framework that promotes cognitive and physical collaboration between humans and robots through Mixed Reality (MR). This framework incorporates a novel bi-directional spatial awareness and a multi-modal virtual-physical interaction approaches. The former seamlessly integrates the physical and virtual worlds, offering bidirectional egocentric and exocentric environmental representations. The latter, leveraging the proposed spatial representation, further enhances the collaboration combining a robot planning algorithm for obstacle avoidance with a variable admittance control. This allows users to issue commands based on virtual forces while maintaining compatibility with the environment map. We validate the proposed approach by performing several collaborative planning and exploration tasks involving a drone and an user equipped with a MR headset.

Keywords

Cite

@article{arxiv.2402.04070,
  title  = {Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality},
  author = {Luca Morando and Giuseppe Loianno},
  journal= {arXiv preprint arXiv:2402.04070},
  year   = {2024}
}

Comments

Currently Accepted at International Conference on Robotics and Automation (ICRA) 2024, Nominated as Finalist for IEEE ICRA 2024 Best Paper Award on Unmanned Aerial Vehicles

R2 v1 2026-06-28T14:40:15.775Z