Abstract
Scientists throughout the world are working on various AI techniques to address control strategies of robots...
Highlights
IntroductionMobile robots can use fuzzy inference technique [29-33] for selfautonomous control in complex environments
Scientists throughout the world are working on various AI techniques to address control strategies of robots
Control of 7-degree redundant manipulator has been analysed in paper [12] .Bacteria foraging methodology [13-14] has been used by scientists for motion planning of humanoid type robots
Summary
Mobile robots can use fuzzy inference technique [29-33] for selfautonomous control in complex environments. Many researchers have used Fuzzy-Neuro [47-51] techniques in the modern time for handling optimization problems for finding optimized paths for robotic agents in highly cluttered unknown environments. Papers [63-65] have discussed about Artificial Immune System for navigation control of robots in complex environments. Papers [73-77] have discussed about neural networks for navigational control of mobile robots in highly cluttered environments. Papers [8384] have discussed about the use of artificial potential field method to address control of robot in various environments. Use of artificial intelligence techniques for robot control and path planning has been discussed in papers [92-93]. Papers [112-125] discuss about novel neural network and fuzzy logic to address problem of crack identification in complicated dynamic structures. Papers [126-129] discuss about hybrid AI techniques for robot control
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