## 9 Future Research Perspectives  
Agriculture businesses, warehouses, military operations, healthcare institutions, and logical companies are all searching for novel and contemporary ways to improve operations efficiency, increase safety, ensure precision, and improve speed. Hence, all require autonomous vehicle support in the future. Advancing the long-term perspective, too much research work is mandatory to create more analytical systems and achieve autonomy of higher grades [103]. Intelligent robots will become more ultra-modern in a more intellectual, human-like way. The localization and navigation of an autonomous vehicle in a random environment is a problem due to the diversity and complexity of the environments, sensors, and methods involved. Various directions look to call for future research, despite other similar research work following through literature surveys. Future autonomous robotic systems will create the use of diverse robots that perform collaboratively to fulfill the mission goal. The heterogeneous collaboration and combination potentiality can strongly contribute to a multitude of various applications. Integrating ML and DL techniques with mobile robotics can enhance the range of robotics applications and the accuracy rate [104]. Figure 17 presents a brief outline of different fields of study and future research aspects of robotics science in almost every field of science and engineering [105]. Figure 16: An ideal interaction system between a user and user assistance system [101]. Technological developments in novel innovations such as autonomous vehicles, drones for delivery, and intelligent industries that have robots as co-workers have a significant impact on the way of functioning of factories. The application of mobile robots for underground mining can accelerate the mapping of the mine, assist workers, create virtual models, and improve safety [106]. Various research opportunities such as obstacle avoidance, motion planning in a tropical situation, multiple-robot collaborative path planning, and many more are still open for researchers in a mobile robot. Intelligent robots are helping to run the economy of the machine, and the Internet of things will be more and fully realized. Furthermore, more in-depth industrial applications will be provided with the growth in AI, 5G, Cloud-native technologies, and automation [107]. The market for autonomous mobile robots is growing very fast in the service sector, software field, and robotics field applications. The most important factor in achieving the growth of the market is the growing demand and adoption in various applications of end-use for automation products. This has led to enhanced efforts in development and research by several companies functioning in the market. Moreover, the market growth of mobile robots is managed by the government encouragement of several countries around the world. Central governments provide grants and funds for the creation of advanced mobile robots for industrial and defense applications. However, the biggest challenge for the development of this technology is the lack of experts and research. In various research institutes, technologists around the world are busy making the next generation of autonomous systems. There are several issues related to the optimization and safety of the mobile robotics system formulation that needs the attention of researchers. It is very difficult to achieve optimal motion control, minimization of time for the path search, and enhancement of path search accuracy for mobile robots. Problems associated with path planning include finding an appropriate path from the initial position to the final position. Reinforcement  
Figure 17: Outline of different fields of study and research perspectives on mobile robots [105]. learning algorithms can play a vital role in the optimization of the path for a single- and multiple-agent environment to resolve more realistic and complex problems [108].