Please use this identifier to cite or link to this item:
|Title:||Task-oriented developmental learning for humanoid robots|
|Authors:||Tan, K.C. |
|Source:||Tan, K.C., Chen, Y.J., Tan, K.K., Lee, T.H. (2005-06). Task-oriented developmental learning for humanoid robots. IEEE Transactions on Industrial Electronics 52 (3) : 906-914. ScholarBank@NUS Repository. https://doi.org/10.1109/TIE.2005.847577|
|Abstract:||This paper presents a new approach of task-oriented developmental learning for humanoid robots. It is capable of setting up multiple tasks representation automatically using real-time experiences, thereby enabling a robot to handle various tasks concurrently without the need of predefining the tasks. In the approach, an evolvable partitioned tree structure is used for task representation knowledgebase that is partitioned into different task domains. The search/update of task knowledge is focused on a particular task branch, without considering the whole task knowledgebase that is often large and time consuming in the process. A prototype of the proposed task-oriented developmental learning is designed and implemented using a Khepera robot. Experimental results show that the robot can redirect itself to new tasks through interactions with the environment, and a learned task can be easily updated in order to meet varying specifications in the real world. © 2005 IEEE.|
|Source Title:||IEEE Transactions on Industrial Electronics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 28, 2018
WEB OF SCIENCETM
checked on Feb 19, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.