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About

Adisorn Leelasantitham is a researcher whose work bridges robotics, neural networks, and wireless control systems. His key research areas include industrial robotics, inverse kinematics, and the integration of wireless communication standards with robotic platforms. One of his major contributions is the simulation of a 6R industrial articulated robot arm using a backpropagation neural network, which addresses the complex problem of inverse kinematics for industrial robots. This work, published in 2010, has garnered 11 citations and demonstrates his ability to apply computational intelligence to real-world engineering challenges. Leelasantitham has also explored the performance of wireless robots controlled via IEEE 802.11g standards and infrared sensors, with studies from 2008 and 2009 accumulating 2 and 8 citations, respectively. These investigations into wireless robot control and sensor integration highlight his focus on practical, automated systems. His work is particularly notable for its emphasis on using accessible hardware and software, such as Windows XP and printer port control, to develop functional robotic platforms. Through these contributions, Leelasantitham has advanced the understanding of neural network applications in robotics and the optimization of wireless control systems, making his research valuable for students and engineers interested in affordable, efficient robotic automation.