Autonomous Mobile Robots (AMRs) are gaining traction in manufacturing, logistics, healthcare, and agriculture. Companies are increasingly using AMRs to automate repetitive and physically demanding tasks. Integration of artificial intelligence (AI) and Machine Learning (ML) helps AMRs become more intelligent, adaptive and safer They can learn from their experiences and make decisions based on the data they collected and new use cases can be added overtime. However, there are many factors that need to be considered when developing AMRs and vary widely for different end applications.