Robotic grasp manipulation using evolutionary computing and deep reinforcement learning

Author:

Shukla PriyaORCID,Kumar Hitesh,Nandi G C

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

Reference31 articles.

1. Bohg J, Morales A, Asfour T, Kragic D (2014) Data-driven grasp synthesis-a survey. IEEE Trans Robot 30(2):289–309. https://doi.org/10.1109/TRO.2013.2289018

2. Depierre A, Dellandrea E, Chen L (2018) Jacquard: a largescale dataset for robotic grasp detection. In: Proceedings of the 2018 IEEE/RSJ international conference on Intelligent Robots and Systems (IROS), pp 3511–3516 (2018)

3. Fu J, Lin Z, Liu M, Leonard N, Feng J, Chua TS (2016) Deep q-networks for accelerating the training of deep neural networks

4. Goldberg DE (1994) Genetic algorithms in search, optimization and machine learning, 2nd edn. Addison-Wesley, Boston

5. Huber PJ (2011) Robust statistics. Springer, Berlin, pp 1248–1251

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