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Robotics and Embedded Systems
Robots are intelligent electrical-mechanical devices that can sense, think, actuate and interact with humans. Their motion behavior can be influenced by the programmed task as well as by the environment in which they operate. An embedded system is a set of computer controlled devices that make products work while remaining mostly invisible to the users of the products. The research in robotics and embedded systems impacts a broad spectrum of applications, including assistance, training and rehabilitation, education, environmental monitoring and cleanup, emergency response, homeland security, military and entertainment.
At Oklahoma State University, both Robotics and Embedded Systems primarily focuses on the science and technology of effective, robust, and scalable robotic systems, with broad and far-reaching applications. Many of the elements created with this research span interdisciplinary interactions and collaboration through its robotics faculty and its large team of interdisciplinary affiliates. Robotics and Embedded systems research span the areas of service, humanoid, distributed, reconfigurable, space, and nano robotics and impact a broad spectrum of applications, including assistance, training and rehabilitation, education, environmental monitoring and cleanup, emergency response, homeland security, and entertainment.
More specific research topics include, but are not limited to, algorithms (e.g., for collision avoidance and path planning), computer architecture for embedded systems, graphics and simulation using the latest rendering devices, motor control, machine learning, natural and spoken language, robot programming languages and controllers up to synthetic biology, statistical algorithms for computer vision.
- Embedded Sensing and Computing
- Intelligent Systems
- Linear Systems
- Nonlinear Systems Analysis and Control
- Estimation Theory
- Neural Networks
- System on Chip Architectures
- Digital Signal Processing
- Computer Vision
- Dynamics and Control
Dr. Jingtong Hu’s research interests include architecture and compiler for embedded systems, FPGA, non-volatile memory, and cyber physical systems. He received his B.E. degree from Shandong University, China in 2007 and M.S. and Ph.D. degree in Computer Science from the University of Texas at Dallas, TX, USA in June 2010 and Aug. 2013, respectively. He is currently an Assistant Professor in the School of Electrical and Computer Engineering at Oklahoma State University, OK, USA. He is a member of ACM and IEEE.
Dr. Carl Latino received his B.S. from City University of New York and his M.S. and Ph.D. degrees from Pennsylvania State University all in electrical engineering. He began as Assistant Professor at Tulsa University 1976-1980 before sampling industrial life as Chief Engineer at Telex Computer products and then Manager of New Products Development at Pelton Company. In 1986 he joined the faculty at OSU where, for 12 years, he helped develop and direct the Systems Prototyping Laboratory. Dr. Latino has worked on numerous engineering projects ranging from guidance systems to space shuttle sub systems.
Dr. Weihua Sheng received his Ph.D. in electrical and computer engineering from Michigan State University in 2002. His current research interests lie in the general area of intelligent sensing, computation, control and their applications. More specifically, his research directions include embedded intelligent sensing, robotized sensor networks, intelligent mechatronics and computational intelligence for manufacturing. He is a member of IEEE and has participated in organizing several IEEE conferences.
Dr. James E. Stine received a Ph.D. in electrical engineering from Lehigh University in 2000. He was an assistant and associate professor at Illinois Institute of Technology from 1999 to 2005, where he directed the VLSI Computer Architecture, Arithmetic and CAD Research Laboratory. He is currently an associate professor in the School of Electrical and Computer Engineering at Oklahoma State University. Dr. Stine specializes in research and teaching in VLSI, computer arithmetic, computer system architecture and digital design. His research contributions have been extensively published in journals and conference proceedings. He is the author of two monographs in the area of computer arithmetic. He is a member of the ACM, the IEEE Computer Society, Eta Kappa Nu and a Senior Member of the IEEE.