Will the Last Robot Leaving the Office Please Turn Out the Lights: Prospects for Robotics in the 21st Century
Mechanical devices that imitate human behaviors as well as automated computation first appeared 3000 years ago. Contemporary technologies incorporating simulated intelligence embodied in digital computers, environment sensing components, and mechanical effectors have produced machines of extraordinary sophistication and capability; they have the potential to replace human labor in countless circumstances and new applications are emerging exponentially. Practitioners and futurists see the ultimate goal of these endeavors as resulting in devices that are not only indistinguishable from, but capable of surpassing, human intelligence and behavior. Various approaches to these goals have materialized including: expert systems, subsumptive architectures, fuzzy logic, neural (autoassociative) networks, and more recently, integration of the human brain with mechanical manipulators as well as development of an organic brain. It is a combined endeavor of neurologists, physiologists, engineers, computer scientists, and psychologists.
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- Fairleigh Dickinson University
- Teaneck, New Jersey
- United States 07666
- Building: Auditorium M105, Muscarelle Center
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Hong Zhao (201)-692-2350, zhao@fdu.edu; Alfredo Tan, tan@fdu.edu, Howard Leach h.leach@ieee.org
- Co-sponsored by SP01 and School of Computer Sciences and Engineering, FDU
Agenda
Gordon Silverman is Professor Emeritus of Electrical and Computer Engineering at Manhattan College. His professional career spans 60 years and includes corporate, consulting, research, and teaching experience during which he introduced advanced, computer-based, scientific instrument architectures. He is the holder of eight patents including the use of intelligent agents in physical rehabilitation. He is the author of more than 20 journal articles and books and has served on the faculties of The Rockefeller University and Fairleigh Dickinson University in addition to Manhattan where he served as department chair and Interim Dean of Engineering. Furthermore he has held positions as; series editor for McGraw-Hill, ABET program evaluator, and IEEE chapter chair. He has presented numerous invited lectures before technical groups and holds BA, BS, and MS degrees in engineering from Columbia University and received a PhD in system science from New York University Polytechnic School of Engineering in 1972.