Please use this identifier to cite or link to this item: https://doi.org/10.1145/2425296.2425315
Title: Intuitive interaction for robotic grasping
Authors: Chen, N.
Tee, K.P.
Chew, C.-M. 
Yan, R.
Keywords: grasping
human-robot interface
infrared
teleoperation
Issue Date: 2012
Source: Chen, N.,Tee, K.P.,Chew, C.-M.,Yan, R. (2012). Intuitive interaction for robotic grasping. Proceedings - WASA 2012: Workshop at SIGGRAPH Asia 2012 : 105-111. ScholarBank@NUS Repository. https://doi.org/10.1145/2425296.2425315
Abstract: To explore an intuitive human-robot interface for service robots, this work develops effective and user-friendly approaches which combine the real time remote vision-based teleoperation and autonomous grasping. In the first approach, hand gestures are identified and used to activate autonomy, which can reduce grasping time and provide more natural grasping poses. A potential energy algorithm is introduced to assist grasping during teleoperation in another approach. This allows us to perform online adjustments to reach a pre-grasp pose without requiring premature object contact or regrasping strategies. © 2012 ACM.
Source Title: Proceedings - WASA 2012: Workshop at SIGGRAPH Asia 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/73550
ISBN: 9781450318358
DOI: 10.1145/2425296.2425315
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Dec 13, 2017

Page view(s)

29
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.