RobotAtFactory 4.0: a ROS framework for the SimTwo simulator

Author:

Braun Joao1,Junior Alexandre Oliveira1,Berger Guido S.1,Lima Jose1,Pereira Ana I.1,Costa Paulo2

Affiliation:

1. Instituto Politécnico de Bragança, Campus de Santa,Research Centre in Digitalization and Intelligent Robotics (CeDRI),Apolónia,Bragança,Portugal,5300-253

2. INESC Technology and Science,Porto,Portugal

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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

2. Deep Learning-Based Localization Approach for Autonomous Robots in the RobotAtFactory 4.0 Competition;Communications in Computer and Information Science;2024

3. Simulation Model of a Time of Flight Distance Sensor Using SimTwo;Lecture Notes in Educational Technology;2024

4. ROS 2 for enhancing perception and recognition in collaborative robots performing flexible tasks;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

5. Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study;2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC);2023-04-26

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