Intelligent Robotics Navigation System: Problems, Methods, and Algorithm

Abstract

This paper set out to supplement new studies with a brief and comprehensible review of the advanced development in the area of the navigation system, starting from a single robot, multi-robot, and swarm robots from a particular perspective by taking insights from these biological systems. The inspiration is taken from nature by observing the human and the social animal that is believed to be very beneficial for this purpose. The intelligent navigation system is developed based on an individual characteristic or a social animal biological structure. The discussion of this paper will focus on how simple agent’s structure utilizes flexible and potential outcomes in order to navigate in a productive and unorganized surrounding. The combination of the navigation system and biologically inspired approach has attracted considerable attention, which makes it an important research area in the intelligent robotic system. Overall, this paper explores the implementation, which is resulted from the simulation performed by the embodiment of robots operating in real environments.

Mobile robot turned on by sound and directionally controlled by an external light source

“…To obtain 1, it is necessary to analyze the system's behavior in the following situations: (1) No current through the capacitor 1 , and (2) High signal frequency as shown in Figure 6.…”

“…Due to the constant advancement of technology and the extensive development of automated control systems, numerous methods have been developed to control devices through external physical quantities [1]. Industrial robots are now commonly used in production systems to improve productivity, quality, and safety in manufacturing processes.…”

Robots swarm communication control based on biological behavior inspiration

“…In addition, through distance calculations and measurements or even visual pictures captured by the support of functional external sensors, a sufficient amount of information can be stored and processed [15]. A well designed self-controlled mobile robots must be able to handle tasks as follows [16][17][18]; learning and gain a comprehensive mapping information of its operational nearby location along with obstacle locations to avoid it, consequently navigational decisions will meet a high standard level of accuracy according to the environmental data which collected by the external sensors. Beside, to meet high percentage of precisions for a predefined mission as well as achieving accurate self-controlled directions and arrangements (autonomously) with no human interference.…”

Sliding mode control-based system for the two-link robot arm

“…The disadvantage of these methods is the chattering phenomenon of the signal. The other techniques have been developed for robot control such as robust control [8,9] optimal control [10,11], adaptive control [12], and intelligent control [13,14]. The disadvantage of these methods is that the calculation process of the controller is complicated.…”