DocumentCode :
2512199
Title :
An approach for semi-autonomous recovery of unknown objects in underwater environments
Author :
Prats, Mario ; Fernández, José J. ; Sanz, Pedro J.
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of Jaume-I, Castellón, Spain
fYear :
2012
fDate :
24-26 May 2012
Firstpage :
1452
Lastpage :
1457
Abstract :
Autonomous grasping of unknown objects by a robot is a highly challenging skill that is receiving increasing attention in the last years. This problem becomes still more challenging (and less explored) in underwater environments, with highly unstructured scenarios, limited availability of sensors and, in general, adverse conditions that affect in different degree the robot perception and control systems. This paper describes an approach for semi-autonomous grasping and recovery on underwater unknown objects. A laser stripe emitter is attached to a robot forearm that performs a scan of a target of interest. This scan is captured by a camera and the partial 3D structure of the scene is recovered. A user then indicates the part where to grab the object, and the final grasp is automatically planned on that area. The methods herein presented are tested and validated in real conditions in a water tank.
Keywords :
autonomous underwater vehicles; laser beam applications; manipulators; mobile robots; AUV; ROV; autonomous grasping; autonomous underwater manipulation; autonomous underwater vehicles; control systems; laser stripe emitter; remote operated vehicles; robot forearm; robot perception; semiautonomous grasping; semiautonomous unknown object recovery; underwater environments; water tank; Cameras; Grasping; Joints; Kinematics; Lasers; Robots; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on
Conference_Location :
Brasov
ISSN :
1842-0133
Print_ISBN :
978-1-4673-1650-7
Electronic_ISBN :
1842-0133
Type :
conf
DOI :
10.1109/OPTIM.2012.6231874
Filename :
6231874
Link To Document :
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