/Gregory Barlow

Gregory Barlow

Project Scientist
Email: gjb@andrew.cmu.edu
Office: NSH 4217
Phone: (412) 268-2126
Personal Homepage
Mailing Address:

Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213

My research interests are in the area of artificial intelligence, with an emphasis on optimization and learning in dynamic or uncertain environments. I am particularly interested in the application of optimization, learning, and search to real-world problems, including adaptive traffic light signalization, dynamic scheduling, and robot control.

Displaying 14 Publications
ANALYSIS OF TRENDS IN TRANSIT BUS DWELL TIME DATA
Isaac Isukapati, Hana Rudova, Gregory Barlow and Stephen Smith

Conference Paper, Trasportation Research Board, January, 2017
SIMULATING ADAPTIVE CONTROL STRATEGIES IN LARGE URBAN NETWORKS
Isaac Isukapati, Achal Arvind, Gregory Barlow, Pranav Shah, Stephen Smith and Zack Rubinstein

Tech. Report, CMU-RI-TR-15-26, Robotics Institute, Carnegie Mellon University, September, 2015
Cost-Effective Network Topology for Ubiquitous Bluetooth Reader Deployment in Urban Networks
Isaac Isukapati, Gregory Barlow and Stephen Smith

Conference Paper, Proceedings 94th Transportation Research Board (TRB) Annual Meeting, January, 2015
Real-Time Traffic Control for Sustainable Urban Living
Xiao-Feng Xie, Stephen Smith, Ting-Wei Chen and Gregory Barlow

Conference Paper, Proceedings 17th International IEEE Conference on Intelligent Transportation Systems, October, 2014
Coping with real-world challenges in real-time urban traffic control
Xiao-Feng Xie, Stephen Smith, Gregory Barlow and Tingwei Chen

Conference Paper, Transportation Research Board (TRB) Annual Meeting, January, 2014
Smart Urban Signal Networks: Initial Application of the SURTRAC Adaptive Traffic Signal Control System
Stephen Smith, Gregory Barlow, Xiao-Feng Xie and Zack Rubinstein

Conference Paper, Proceedings 23rd International Conference on Automated Planning and Scheduling, June, 2013
SURTRAC: Scalable Urban Traffic Control
Stephen Smith, Gregory Barlow, Xiao-Feng Xie and Zack Rubinstein

Conference Paper, Transportation Research Board 92nd Annual Meeting Compendium of Papers, January, 2013
Schedule-driven intersection control
Xiao-Feng Xie, Stephen Smith, Liang Lu and Gregory Barlow

Conference Paper, Transportation Research Part C: Emerging Technologies, 24: 168-189, October 2012., October, 2012
Schedule-Driven Coordination for Real-Time Traffic Network Control
Xiao-Feng Xie, Stephen Smith and Gregory Barlow

Conference Paper, Proceedings 22nd International Conference on Automated Planning and Scheduling, Atibaia, Sao Paulo, Brazil, June 2012., June, 2012
Platoon-Based Self-Scheduling for Real-Time Traffic Signal Control
Xiao-Feng Xie, Gregory Barlow, Stephen Smith and Zack Rubinstein

Conference Paper, Proceedings 14th International IEEE Conference on Intelligent Transportation Systems, Washington DC, October, 2011., October, 2011
Improving memory for optimization and learning in dynamic environments
Gregory Barlow

PhD Thesis, Tech. Report, CMU-RI-TR-11-17, Robotics Institute, Carnegie Mellon University, July, 2011
Evolving Cooperative Control on Sparsely Distributed Tasks for UAV Teams Without Global Communication
Gregory Barlow, Choong Oh and Stephen Smith

Conference Paper, Proceedings of the 10th annual conference on Genetic and evolutionary computation, pp. 177-184, July, 2008
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Gregory Barlow and Stephen Smith

Conference Paper, Applications of Evolutionary Computing: EvoWorkshops 2008, Vol. 4974/2008, pp. 606-615, April, 2008
Evolving Cooperative Control on Sparsely Distributed Tasks for UAV Teams Without Global Communication
Gregory Barlow, Choong Oh and Stephen Smith

Tech. Report, CMU-RI-TR-07-24, Robotics Institute, Carnegie Mellon University, July, 2007
2017-09-13T10:42:07+00:00