Syafiq Fauzi, Kamarulzaman (2017) Multi-task learning control system by compound function with application in goal and obstacle consideration. In: IEEE 4th International Symposium on Robotics and Intelligent Sensors (IRIS 2016) , 17-20 December 2016 , Tokyo, Japan. pp. 27-33.. ISBN 978-1-5090-6084-9
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Abstract
Multi-tasking in actions help humans produce actions that satisfy the need of multiple purposes. Even though humans may apply multi-tasking when producing actions, a control device mainly produces a control action that can only satisfies a single task. In this research, a method of Learning Control that utilizes compound function in developing and applying multiple control knowledge (state-action rule) of tasks is proposed. Decision management for considering either tasks is conducted by compound function with which multiple control knowledge of tasks are combined into one compound control knowledge (compound state-action rule) for serving these tasks, while maintaining the development of the individual control knowledge of tasks during a control operation. The proposed method was evaluated in experiments using a robot for tasks of attaining a goal and avoiding obstacles simultaneously. Based on the results, the effectiveness was confirmed through the experiments for the tasks of avoiding obstacle and attaining goal.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Compounds; Collision avoidance; Robot sensing systems; Intelligent sensors |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 22 Mar 2020 23:50 |
| Last Modified: | 22 Mar 2020 23:50 |
| URI: | http://umpir.ump.edu.my/id/eprint/27002 |
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