TY - GEN
T1 - Optimal routing control of a construction machine by deep reinforcement learning
AU - Sun, Zeyuan
AU - Nakatani, Masayuki
AU - Uchimura, Yutaka
N1 - Funding Information:
This research is supported by the Space Exploration Innovation Hub Center of Japan Aerospace Exploration Agency, JAXA, whose activity is selected for the support program for starting up innovation hub sponsored by the Japan Science and Technology Agency (JST).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - Deep reinforcement learning algorithms are rapidly growing, and expected to be applied to many industrial fields. In this paper, we proposed a method that combines a deep Q-network with batch normalization to generate an optimal route for a grading machine. The goal is to achieve autonomous operation of the grading machine. For the learning platform, a grading simulator was developed to emulate the grading work. The proposed method was evaluated with the grading simulator, and showed better route searching performance results than the conventional method.
AB - Deep reinforcement learning algorithms are rapidly growing, and expected to be applied to many industrial fields. In this paper, we proposed a method that combines a deep Q-network with batch normalization to generate an optimal route for a grading machine. The goal is to achieve autonomous operation of the grading machine. For the learning platform, a grading simulator was developed to emulate the grading work. The proposed method was evaluated with the grading simulator, and showed better route searching performance results than the conventional method.
KW - Artificial intelligence
KW - Batch normalization
KW - Deep reinforcement learning
KW - Grading machine
UR - http://www.scopus.com/inward/record.url?scp=85048823289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048823289&partnerID=8YFLogxK
U2 - 10.1109/AMC.2019.8371085
DO - 10.1109/AMC.2019.8371085
M3 - Conference contribution
AN - SCOPUS:85048823289
T3 - Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018
SP - 187
EP - 192
BT - Proceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Workshop on Advanced Motion Control, AMC 2018
Y2 - 9 March 2018 through 11 March 2018
ER -