Objects Relocation in Clutter with Robot Manipulators via Tree-based Q-Learning Algorithm: Analysis and Experiments-Reference-Cited by-同舟云学术

Objects Relocation in Clutter with Robot Manipulators via Tree-based Q-Learning Algorithm: Analysis and Experiments

Published:2022-10 Issue:2 Volume:106 Page:
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Golluccio Giacomo^ORCID,Di Lillo Paolo,Di Vito Daniele,Marino Alessandro,Antonelli Gianluca

Funder

Horizon 2020 Framework Programme

Regione Lazio

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10846-022-01719-9.pdf

Reference34 articles.

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3. Nam, C., Lee, J., Cheong, S.H., Cho, B.Y., Kim C.: Fast and resilient manipulation planning for target retrieval in clutter. In: 2020 IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 3777–3783. IEEE (2020)

4. Lee, J., Cho, Y., Nam, C., Park, J., Kim, C.: Efficient obstacle rearrangement for object manipulation tasks in cluttered environments. In: 2019 Int. Conf. on Robotics and Automation (ICRA), pp. 183–189. IEEE (2019)

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