SpiderMAV: Perching and stabilizing micro aerial vehicles with bio-inspired tensile anchoring systems
File(s)IROS17_2115_FI.pdf (3.97 MB)
Accepted version
Author(s)
Zhang, K
Chermprayong, P
Alhinai, TM
Siddall, R
Kovac, M
Type
Conference Paper
Abstract
Whilst Micro Aerial Vehicles (MAVs) possess a variety of promising capabilities, their high energy consumption severely limits applications where flight endurance is of high importance. Reducing energy usage is one of the main challenges in advancing aerial robot utility. To address this bottleneck in the development of unmanned aerial vehicle applications, this work proposes an bioinspired mechanical approach and develops an aerial robotic system for greater endurance enabled by low power station-keeping. The aerial robotic system consists of an multirotor MAV and anchoring modules capable of launching multiple tensile anchors to fixed structures in its operating envelope. The resulting tensile perch is capable of providing a mechanically stabilized mode for high accuracy operation in 3D workspace. We explore generalised geometric and static modelling of the stabilisation concept using screw theory. Following the analytical modelling of the integrated robotic system, the tensile anchoring modules employing high pressure gas actuation are designed, prototyped and then integrated to a quadrotor platform. The presented design is validated with experimental tests, demonstrating the stabilization capability even in a windy environment.
Date Issued
2017-12-14
Date Acceptance
2017-09-24
Citation
IEEE International Conference on Intelligent Robots and Systems, 2017, pp.6849-6854
ISBN
9781538626825
ISSN
2153-0858
Publisher
IEEE
Start Page
6849
End Page
6854
Journal / Book Title
IEEE International Conference on Intelligent Robots and Systems
Copyright Statement
© 2017 IEEE
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Grant Number
EP/N018494/1
EP/R511547/1
EP/R026173/1
Source
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publication Status
Published
Start Date
2017-09-24
Finish Date
2017-09-28
Coverage Spatial
Vancouver, BC, Canada