Pathnet: A Neuronal Model for Robotic Motion Planning-Reference-Cited by-同舟云学术

Pathnet: A Neuronal Model for Robotic Motion Planning

Published:2018 Issue: Volume: Page:386-394
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Aparanji V. M.^ORCID,Wali Uday V.^ORCID,Aparna R.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-10-9059-2_34

Reference21 articles.

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2. Reif, J.H.: Complexity of the mover’s problem and generalizations. In: Department of Computer Science, University of Rochester, Research report - TR58, pp. 421–427 (1979)

3. Jha, P.: Inverse kinematic analysis of robot manipulators. Dissertation, National Institute of Technology, Rourkela (2015)

4. Tai, L., Ming, L.: Deep-learning in mobile robotics - from perception to control systems: a survey on why and why not. Cornell University Archives. arXiv:1612.07139v3 (2017)

5. Veslin, E.Y., Dutra, M.S., Lengerke, O., Carreno, E.A., Tavera, M.J.M.: A hybrid solution for the inverse kinematic on a seven DOF robotic manipulator. IEEE Lat. Am. Trans. 12(2), 212–218 (2014)

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