Morphological neural networks and vision based simultaneous localization and mapping

Recurrent Neural Network for Approximate Earthquake Time and Location Prediction Using Multiple Seismicity Indicators

“…In the past two decades neural networks have been used successfully to solve complicated pattern recognition and classification problems in many fields such as image analysis and recognition (Adeli and Hung, 1993, 1994; Hung and Adeli, 1993, 1994a; Raftopoulos et al, 2007; Rigatos and Tzafestas, 2007; Gopych, 2008; Khashman and Sekeroglu, 2008), speech recognition (Yau et al, 2007), robotics and computer vision (Sabourin et al, 2007; Taylor et al, 2007; Villaverde et al, 2007; Jorgensen et al, 2008), natural language processing (Ruiz‐Pinales et al, 2008), biomedical engineering and medical diagnosis (Adeli et al, 2005, 2008; Ghosh‐Dastidar et al, 2007; Gil‐Pita and Yao, 2008; Alexandre et al, 2008; Huynh et al, 2008; Khashman, 2008; Nemissi et al, 2008), neuroscience (Ghosh‐Dastidar and Adeli, 2007; Iglesias and Villa, 2008), construction engineering (Adeli and Wu, 1998; Senouci and Adeli, 2001), environmental engineering (Adeli, 2001), structural engineering (Hung and Adeli, 1994b; Adeli and Park, 1995a,b,c, 1996; Park and Adeli, 1995, 1997; Adeli and Karim, 1997a,b; Sirca and Adeli, 2001, 2005; Adeli and Kim, 2001; Tashakori and Adeli, 2002; Ahmadkhanlou and Adeli, 2005; Jiang and Adeli, 2005a, 2007, 2008a,b; Adeli and Jiang, 2006), transportation engineering (Adeli and Samant, 2000; Adeli and Karim, 2000; Samant and Adeli, 2001; Karim and Adeli, 2002; Ghosh‐Dastidar and Adeli, 2003, 2006; Adeli and Jiang, 2003; Dharia and Adeli, 2003; Hooshdar and Adeli, 2004; Jiang and Adeli, 2005b; Cyganek, 2007, 2008), video and audio analysis (Fyfe et al, 2008), computer networking (Kimura and Ikeguchi, 2007), control (Rigatos, 2008; Liu and Zhang, 2008), computer security (Neumann et al, 2007), communication analysis (Chen et al, 2008), reservoir engineering (Banchs et al, 2007), air traffic control (Christodoulou and Kontogeorgou, 2008), solar activity (Ni and Yin, 2008), and financial forecasting (Schneidr and Graupe, 2008). If neural networks can be used for so many different complicated and seemingly in...…”

On the potential contributions of hybrid intelligent approaches to Multicomponent Robotic System development

“…A variety of techniques have been used to perform this task with distributed multi-robot systems, ranging from occupancy grids [1], to genetic algorithms [193], morphological neural networks [176], and particle filters [70]. The maximum expression of autonomy is the ability to autonomously perform simultaneous mapping and localization of the robot units (SLAM) [11,38,40,41,50,172,176]. This is a promising avenue of research where hybrid techniques can be useful to obtain more efficient exploration and feature extraction algorithms.…”

“…Map building is an essential perception process in many applications [1,5,31,56,70,135,169,172,176,193]. For instance, Kumar and Sahin [87] consider the problem of generating cognitive maps in mine detection and Pack and Mullings [116] introduce metrics for measuring the success of a joint search performed by a swarm and a universal search algorithm.…”

“…For instance, Kumar and Sahin [87] consider the problem of generating cognitive maps in mine detection and Pack and Mullings [116] introduce metrics for measuring the success of a joint search performed by a swarm and a universal search algorithm. A variety of techniques have been used to perform this task with distributed multi-robot systems, ranging from occupancy grids [1], to genetic algorithms [193], morphological neural networks [176], and particle filters [70]. The maximum expression of autonomy is the ability to autonomously perform simultaneous mapping and localization of the robot units (SLAM) [11,38,40,41,50,172,176].…”