Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competition-Reference-Cited by-同舟云学术

Design and Development of an Omnidirectional Mecanum Platform for the RobotAtFactory 4.0 Competition

Published:2024 Issue: Volume: Page:114-125
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Braun João,Baidi Kaïs,Bonzatto Luciano,Berger Guido,Pinto Milena,Kalbermatter Rebeca B.,Klein Luan,Grilo Vinicius,Pereira Ana I.,Costa Paulo,Lima José

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47269-5_13

Reference18 articles.

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3. Coelho, F.O., Pinto, M.F., Souza, J.P.C., Marcato, A.L.M.: Hybrid methodology for path planning and computational vision applied to autonomous mission: a new approach. Robotica 38(6), 1000–1018 (2020)

4. Javaid, M., Haleem, A., Singh, R.P., Suman, R.: Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cogn. Robot. 1, 58–75 (2021)

5. Pinto, M.F., Honório, L.M., Marcato, A.L.M., Dantas, M.A.R., Melo, A.G., Capretz, M., Urdiales, C.: Arcog: an aerial robotics cognitive architecture. Robotica 39(3), 483–502 (2021)

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1. A Robotic Framework for the Robot@Factory 4.0 Competition;2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC);2024-05-02

2. Kabsch Marker Estimation Algorithm—A Multi-Robot Marker-Based Localization Algorithm Within the Industry 4.0 Context;IEEE Access;2024