Abstract
A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3 degree-of-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving basket. Where the hitting rate is improved by the successive learning control and the final value was 23% in average, 40% in maximum.
Original language | English |
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Title of host publication | Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 326-330 |
Number of pages | 5 |
ISBN (Electronic) | 0780314077, 9780780314078 |
DOIs | |
Publication status | Published - 1993 |
Externally published | Yes |
Event | 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 - Tokyo, Japan Duration: 3 Nov 1993 → 5 Nov 1993 |
Publication series
Name | Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 |
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Conference
Conference | 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 |
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Country/Territory | Japan |
City | Tokyo |
Period | 3/11/93 → 5/11/93 |
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Hirota, K., Tsurumaru, T., Motegi, A., Ohtani, M., Yubazaki, N., & Miyajima, T. (1993). A successive learning neuro control system shooting irregular moving object. In Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993 (pp. 326-330). Article 367699 (Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, RO-MAN 1993). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.1993.367699