J. P. Rodríguez-Gómez
A. Gómez Eguíluz
J. R. Martínez-de Dios
A. Ollero
2019-11-07
<p>Aerial robotics is evolving towards the design of bioinspired platforms capable of resembling the behavior of birds and insects during flight. The development of perception algorithms for navigation of ornithopters requires sensor data information to evaluate and solve the limitations presented during the flight of these platforms. However, the payload constraints and hardware complexity of ornithopters hamper the sensor data acquisition. This paper focuses on the development of a multi-sensor simulator to retrieve the sensor information captured during the landing maneuvers of ornithopters. The landing trajectory is computed by using a bioinspired trajectory generator relying on tau theory. Further, a dataset of the sensor information records obtained during the simulation of several landing trajectories is publicly available online.</p>
https://doi.org/10.1007/978-3-030-36150-1_5
oai:zenodo.org:3573646
Springer, Cham
https://doi.org/10.1007/978-3-030-36150-1_5
https://doi.org/10.5281/zenodo.3930442
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Robot 2019, Fourth Iberian Robotics Conference, Porto, Portugal, November, 2019
Ornithopter
Tau theory
Event-based cameras
LiDAR
ROSS-LAN: RObotic Sensing Simulation Scheme for Bioinspired Robotic Bird LANding
info:eu-repo/semantics/bookPart