## 2 Literature Survey
### From 2001 to 2010  
[PERSON] et al. (2001) [38] drew a comparison between principal components analysis (PCA) and linear discriminant analysis (LDA). As far as previous research showed, object recognition by LDA-based algorithms was superior to PCA-based algorithms. However, this research explained that this case is not always true. In the case of a small training data set, PCA is superior to LDA. [PERSON] et al. (2002) [39] studied the developments in the domain of vision for navigation of mobile robots in the last 20 years. The survey included both outdoor and indoor navigation. The cases of navigation using object recognition, optical flows, and techniques of paradigm appearance based on environments were discussed in this article. [PERSON] et al. (2003) [40] proposed a novel approach to locate the position of an autonomous robot with the help of a moving object image. This approach integrated data from the observed location with the help of the estimated position and the dead reckoning sensors, using captured moving objects images by a stationary camera to locate the position of a mobile robot. This approach was applied to a moving object on the wall to describe the reduction of uncertainty while locating the location of a mobile robot. The human-robot interaction in the field of rescue robotics was discussed in [PERSON] (2004) [41]. The article presented a short description of the major human-robot interaction issues in the number of human reductions, which includes control of a mobile robot, encouraging the acceptance in the domain of existing social structure, and performing maintenance with geographically dispersed teams in intermittent communications. [PERSON] et al. (2005) [42] proposed a technique for the exploration of coordinated multi-robots. This approach is for the coordination of multiple mobile robots, which simultaneously increases the cost of finalizing a target point and its utility. The results of the proposed algorithm demonstrated that this approach effectively and quickly distributed the mobile robots across the environment and permitted them to quickly complete their mission. [PERSON] et al. (2006) [43] presented a theoretical and practical analysis of wheeled miniature in vivo mobile robots for laparoscopy support. The main objective of this approach was to develop a mobile imaging robot integrated with wireless technology that could be placed in the abdominal cavity whenever surgery occurs. These robots provided multiple-angle views of the surgical environment to the surgeon. [PERSON] et al. (2007) [44] presented an algorithm of real-time that could recover the monocular camera's 3D trajectory, moving quickly in a previously unknown scene. The main factor of this approach was the sparse creation of a steady map of environmental landmarks within the range of a probabilistic framework online. This approach expanded the range of mobile vehicle systems in which SLAM might be applied usefully, nonetheless, and also opened new areas. The MonoSLAM applications for real-time mapping and 3D localization for a humanoid robot were implemented in this proposed work. [PERSON] (2008) [45] proposed a technique to develop a small-sized insect-type micro air mobile robot using biological principle exploring. The proposed principles provided an idea on how to create better thrust to hold the flight for micro-scale vehicles. This approach showed how new paradigms of manufacturing enable the generation of the aeromechanical and mechanical subsystems of any micro mobile robotics device capable of trajectories of the Diptera wing. [PERSON] et al. (2009) [46] proposed two decentralized algorithms to address the allocation of a task to coordinate several autonomous robots. These algorithms were CBBA (consensus-based bundle algorithm) and CBAA (consensus-based auction algorithm).