Prof. Dr. Md Raisuddin Khan,SMIEE
Department of Mechatronics Engineering, International Islamic University Malaysia, 53100 Kuala Lumpur, Malaysia
Topics: Evolutionary Modular Robot for Versatile Manipulation
Biography : Professor Md Raisuddin Khan received his B.Sc. degree in Mechanical Engineering from the former Engineering College, Rajshahi, Bangladesh [(currently known as Rajshahi University of Engineering and Technology (RUET)] in 1983. He received his M.Sc and Ph.D degrees in Mechanical Engineering from the Bangladesh University of Engineering and Technology (BUET) in 1988 and 1996 respectively. Currently he is a professor in the department of Mechatronics Engineering of the International Islamic University Malaysia (IIUM). He has been serving the Mechatronics Engineering Department of IIUM for more than twenty years. He has wide experience of designing and reviewing Mechatronics Engineering curriculum of different universities in Malaysia and overseas. He had been coordinator of the Autonomous Systems and Robotics Research Unit (ASRRU) of IIUM for more than five years. He also served as the member of the executive committee of IEEE Robotic Automation Society (RAS) Malaysia chapter for several terms. His research interest covers robotics, smart devices, vibration, and stress analyses of structures. He received several medals from different national and international exhibitions for innovating different Mechatronics products. He has so far published more than seventy papers in different international journals and conferences. He is life fellow of IEB and BSME, and Senior member of IEEE.
Abstract:
Robotics technology is still revolving about mimicking the features of biological creatures like spider, bird, fish, cheetah, snake and even humans. Thus, these robots are only suitable to undertake activities that are close to the activities of the imitated creature. With the advancement of sensing, actuation, control systems and artificial intelligence it is now the time to enhance robotics research beyond the traditional norm. It is believed that the next generation robots will be modular, multifunctional, and reconfigurable to serve in situations where humans or a single traditional robot would face difficulties to accomplish any mission. This presentation will cover the progress and challenges of developing such kind of robots, specifically it will address the knowledge components that are essential in perceiving such multifunctional modular robots.