DocumentCode
2691893
Title
Treebot: Autonomous tree climbing by tactile sensing
Author
Lam, Tin Lun ; Xu, Yangsheng
Author_Institution
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear
2011
fDate
9-13 May 2011
Firstpage
789
Lastpage
794
Abstract
This paper proposed an autonomous tree climbing algorithm for a novel tree climbing robot named Treebot. Making a robot realize an environment and climb on a tree autonomously is a challenging task as the shape of tree is complex and irregular. To our best knowledge, this is the first paper dealing with the autonomous climbing problem in an unknown tree environment. The proposed method is aimed to use minimal sensing resources to achieve autonomous climbing. It reconstructs the shape of tree by using tactile sensors and guides the robot to climb along an optimal path. Numerous experiments have been carried out and the results are satisfactory.
Keywords
mobile robots; tactile sensors; Treebot; autonomous tree climbing robot; minimal sensing resources; optimal path; tactile sensing; unknown tree environment; Approximation methods; Grippers; Robot sensing systems; Shape; Vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location
Shanghai
ISSN
1050-4729
Print_ISBN
978-1-61284-386-5
Type
conf
DOI
10.1109/ICRA.2011.5979837
Filename
5979837
Link To Document