The Internet of Things and artificial intelligence have developed rapidly in recent decades, and intelligent robots have been used in various fields of production and life. There are many requirements for the functions, performance and intelligence of smart robots. Many researchers are committed to how intelligent robots can learn more efficiently and develop new functions. How to obtain the learning data while protecting the privacy of users and how to record the learning process are two major problems faced by researchers. This article proposes a smart robot training data acquisition and learning process recording system based on blockchain to ensure that the training information of robot is kept credible and to provide users with privacy protection.
Cite this paper
Wang, K. , Yang, C. and Wang, T. (2020). A Smart Robot Training Data Acquisition and Learning Process Recording System Based on Blockchain. Open Access Library Journal, 7, e6711. doi: http://dx.doi.org/10.4236/oalib.1106711.
Chew, Y.J., Wong, K.S. and Ooi, S.Y. (2017) Privacy Protection in Machine Learning: With the State of the Art for Private Decision Tree. Security and Authentication: Perspectives, Management and Challenges. Nova Science Publishers, Inc., Hanover, 13-39.
Bonneau, J., Miller, A., Clark, J., et al. (2015) Sok: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies. 2015 IEEE Symposium on Security and Privacy, San Jose, 17-21 May 2015, 104-121. https://doi.org/10.1109/SP.2015.14
Wang, K., Liu, M., Jiang, X., et al. (2019) A Novel Vehicle Blockchain Model Based on Hyperledger Fabric for Vehicle Supply Chain Management. International Conference on Blockchain and Trustworthy Systems, Springer, Singapore, 732-739.
https://doi.org/10.1007/978-981-15-2777-7_59
Androulaki, E., Barger, A., Bortnikov, V., et al. (2018) Hyperledger Fabric: A Distributed Operating System For Permissioned Blockchains. Proceedings of the Thirteenth EuroSys Conference, Porto, April 2018, 1-15.
https://doi.org/10.1145/3190508.3190538