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Abstract

If one defines the SUAV robot as a mechanical or electronic agent that can extend  human  capacities  then  the  dog  (which  has  been  domesticated  by humans) represents the first "biological robot" because some time after domestication, dogs were utilized as an aid in hunting, animal husbandry, warfare, protection, transport and search and rescue. In this research we explore a control architecture that allows for human robot interaction that mimics the relationship between a Service Canine and a team of first responders in a large scale disaster scenario. We explore rigorous performance metrics for that allow human first responders to work seamlessly in a blended response between an Aerial K9 robotic agent which can safely guide first responders to targets of interest in minimum time, with minimum effort and maximum entropy.

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Speaker Bio

Dr. James Hubbard began his career in 1971 as an engineering officer in the U.S. Merchant Marine serving in Vietnam. He received unlimited horsepower, steam and diesel engine Marine Engineering license from the U.S. Coast Guard and at the age of 19 was one of the youngest to get such an honor. He has served as a Professor of engineering at M.I.T., Boston University and is presently the Glenn L. Martin Institute Professor of Aerospace Engineering at the University of Maryland. His research involves the design, analysis, simulation and fabrication of spatially distributed systems, smart materials and smart transducers. He has co-founded three companies whose commercial product base built upon his experience in smart materials and smart sensors. He has received numerous awards for teaching and mentoring excellence including the M.I.T. Goodwin Medal for “Conspicuously Effective Teaching, The M.I.T. Stewart Award for “Outstanding Service to the Community” and “The Key to the City” of his hometown, Danville Virginia for Lifetime achievement and mentoring. In 2016 he received the SPIE Lifetime Achievement Award. He is a Fellow of the AIAA and the ASME and has more than 150 technical publications, 24 U.S. and Worldwide patents, and has served on numerous technical Boards and Committees of the National Academy of Engineering. He was recently inducted into the Class of 2016 National Academy of Engineering.

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Article topics: MconneX , Robotics , Robotics & Autonomy