Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study

Computer Science

• Machine Learning Approach 100%
• Embedded Systems 100%
• Case Study 100%
• Machine Learning 100%
• Learning System 100%
• Robot 50%
• Simulated Scenario 50%
• Decision-Making 50%
• Localization Problem 50%
• Raspberry Pi 50%
• Embedded Application 50%
• Internet-Of-Things 50%
• Fiducial Marker 50%

Keyphrases

• Machine Learning 100%
• Machine Learning Approach 100%
• Embedded Systems 100%
• Decision-making Process 50%
• Internet of Things 50%
• Training Time 50%
• Fiducial Markers 50%
• Localization Problem 50%
• Embedded Applications 50%
• Raspberry Pi 4 Model B 50%
• Limited Amount of Data 50%
• Multi-layer Perception 50%
• Image Marker 50%
• ArUco Marker 50%