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Autonomous and Intelligent Systems at United Technologies Research Center

We will present a broad overview of UTRC’s Systems Department research with particular focus on the areas of autonomous and intelligent systems, data driven systems, and advanced uncertainty management methods. The research, conducted by a diverse team of researchers in robotics, dynamical systems, control, applied mathematics, computer vision, computer science, and human factors (in partnership with several leading universities including CMU, MIT, UPenn, and UC Berkeley) includes:

• Real-time algorithms for dynamic collision avoidance in an obstacle-rich environment using probabilistic roadmaps.
• Collaborative motion planning for multiple aerial and ground robots in large, cluttered, uncertain environments, trading off mission objectives while satisfying logical/spatial/temporal constraints.
• Navigation with imperfect and intermittent sensors in GPS degraded environments.
• Intelligent system design methodology including architectures for autonomy, human-machine systems, and formal verification.
• Koopman operator theoretic method for data driven system and control applications.
• Scalable framework for uncertainty quantification that leverages a combination of distributed clustering and adaptive waveform relaxation, with extensions to scalable inference.

We will conclude with research problems of interest to UTRC and discuss existing and future career and internship opportunities in the broad area of autonomy, controls, and human-machine interactions.

Type of Seminar:
IfA Seminar
Dr. Andrzej Banaszuk, Dr. Tuhin Sahai, Dr. Amit Surana
UTRC, Hartford, CT
Apr 11, 2016   2:00 p.m.

ETZ E8, Gloriastrasse 35
Contact Person:

Roy Smith
No downloadable files available.
Biographical Sketch:
Dr. Andrzej Banaszuk is a Director of Systems Department at the United Technologies Research Center. Before his current appointment he was a Program Leader of Autonomous and Intelligent Systems and Sikorsky Program Offices at UTRC. Since joining UTRC in 1997, he has conducted research in analysis, design, and control of dynamical systems applied to jet engines, rotorcraft, electric power networks, and buildings. Since 2000 he has led collaborative multi-university research teams in the area of flow control, control of combustion instabilities, robust design of large uncertain dynamic networks, and autonomy. He is an author of 44 journal papers, 71 conference papers, and 9 patents. From 1999 to 2002, he was an Associate Editor of IEEE Transactions of Controls Systems Technology. He was appointed to serve on the Board of Governors of IEEE Control Systems Society in 2004. For his work on active and passive control of flow instabilities in jet engines he received IEEE Controls Systems Technology Award in 2007. He became an IEEE Fellow in 2011. He was elected to the Connecticut Academy of Science and Engineering in 2015. He holds Ph.D. in EE from Warsaw University of Technology and Ph.D. in Mathematics from Georgia Institute of Technology.

Dr. Amit Surana received his Bachelor’s degree in Mechanical Engineering from Indian Institute of Technology Bombay in 2000, his M.S. in Mechanical Engineering and M.A. in Mathematics both from Pennsylvania State University in 2002 and 2003, respectively, and his PhD in Mechanical Engineering from Massachusetts Institute of Technology in 2007. He is currently a Principal Research Scientist at United Technologies Research Center. His research interests include dynamical systems, control theory, machine learning, multi agent systems, and human supervisory control.

Dr. Tuhin Sahai is a Principal Research Scientist at the United Technologies Research Center (UTRC), broadly interested in the design, analysis and uncertainty quantification of complex systems. At UTRC, Tuhin has served as a principal investigator on multiple DARPA programs. In 2013, he was invited by the National Academy of Engineering to attend the Frontiers of Engineering Symposium. Furthermore, he was awarded the Grainger Foundation Frontiers of Engineering (FOE) grant by the National Academy of Engineering in 2014. Tuhin earned his Ph.D. in January 2008 from Cornell University, where he was a McMullen Fellow and won the H.D. Block teaching award. He received his Masters and Bachelors in Aerospace Engineering from the Indian Institute of Technology, Bombay in 2002.