TY - GEN
T1 - Reinforcement Learning Application in Teleoperation Training
AU - Yang, Yang
AU - Huang, Panfeng
AU - Liu, Zhengxiong
N1 - Publisher Copyright:
© 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Teleoperation technique is widely used in industrial automation, space, military, exploration and surgery. Considering the time delay in the operation and the high cost in fixing the problem. We can train the personnel remotely, so as to avoid the influence of delay. The traditional training mode, from the simplest way to train in an orderly way and step by step, can play an effect but will consume time too much. This paper discusses an adaptive intelligent system based on reinforcement learning. This system is based on zone of proximal development theory and uses reinforcement learning algorithm to train trainees in real time, so that trainees can keep in an efficient training mode.
AB - Teleoperation technique is widely used in industrial automation, space, military, exploration and surgery. Considering the time delay in the operation and the high cost in fixing the problem. We can train the personnel remotely, so as to avoid the influence of delay. The traditional training mode, from the simplest way to train in an orderly way and step by step, can play an effect but will consume time too much. This paper discusses an adaptive intelligent system based on reinforcement learning. This system is based on zone of proximal development theory and uses reinforcement learning algorithm to train trainees in real time, so that trainees can keep in an efficient training mode.
KW - Intelligent training
KW - Reinforcement learning
KW - Teleoperation training
KW - Zone of proximal development
UR - http://www.scopus.com/inward/record.url?scp=85120611503&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8155-7_257
DO - 10.1007/978-981-15-8155-7_257
M3 - 会议稿件
AN - SCOPUS:85120611503
SN - 9789811581540
T3 - Lecture Notes in Electrical Engineering
SP - 3079
EP - 3086
BT - Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Yu, Xiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2020
Y2 - 23 October 2020 through 25 October 2020
ER -