A Review of AI-Enhanced Navigation Strategies for Mobile Robots in Dynamic Environments

A mobile robot is a software-controlled machinery that uses sensors and advanced technologies to perceive obstacles and navigate its surroundings to reach its desired destination. The prevalence of mobile robots has increased in recent years due to their ability to autonomously navigate any environment without the need for direction or human intervention. Mobile robots enhance services and daily operations in diverse sectors, including healthcare, enterprises, security, agriculture, education, industries, and defense. The need for mobile robots has surged due to technology improvements and their diverse duties and services, including lifting heavy things, search and rescue operations, lunar exploration, underwater exploration, surveillance, etc. This paper reviews AI-enhanced navigation strategies for mobile robots in dynamic environments, emphasizing the distinction between various approaches. This paper also covers navigation components and types of mobile robots. This paper concludes by tabulating the research gaps and future scope of the recently reviewed literature, providing valuable insights into the state-of-the-art in the field.