A Biologically Based Flight Control System for a Blimp-based UAV

Autonomous navigation in 2D and 3D environments has been studied for a long time. Navigating within a 3D environment is very challenging for both animals and robots and a variety of sensors are used to solve this task ranging from vision or a simple gyro or compass to GPS. The principal tasks for 3D...

Full description

Saved in:
Bibliographic Details
Main Authors: Bermudez i Badia, S., Pyk, P., Verschure, P.F.M.J.
Format: Conference Proceeding
Language:English
Subjects:
Aerospace control
Animals
Biological control systems
Biosensors
Collision avoidance
Elementary Motion Detectors
flying robot
Global Positioning System
insect visual system
Navigation
neuronal model
Robot sensing systems
Robot vision systems
UAV
Unmanned aerial vehicles
Visual Navigation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Autonomous navigation in 2D and 3D environments has been studied for a long time. Navigating within a 3D environment is very challenging for both animals and robots and a variety of sensors are used to solve this task ranging from vision or a simple gyro or compass to GPS. The principal tasks for 3D autonomous navigation are course stabilization, altitude and drift control, and collision avoidance. Using this basis, some features can be easily added like aerial mapping, object recognition, homing strategies or takeoff and landing. Here we present a biologically based control layer for an Unmanned Aerial Vehicle (UAV) that provides course stabilization, altitude and drift control, and collision avoidance. The properties of this neuronal control system are evaluated using a flying robot.
ISSN:1050-4729
2577-087X
DOI:10.1109/ROBOT.2005.1570579