Dr. Philip Dames is an Assistant Professor in the Department of Mechanical Engineering at Temple University. Prior to joining Temple, Dr. Dames worked as a Postdoctoral Researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania, where he also received his Ph.D. in Mechanical Engineering and Applied Mechanics in 2015. His main research interest is multi-robot systems. In particular, he works on problems in planning, control, estimation, and communication to enable robots to autonomously explore and gather information in a wide variety of settings.
Ph.D. Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 2015
M.S. Mechanical Engineering, Northwestern University, 2010
B.S. Mechanical Engineering, Northwestern University, 2010
Assistant Professor, Mechanical Engineering, Temple University, July 2016 - present
Postdoctoral Researcher, Electrical and Systems Engineering, University of Pennsylvania, July 2015 - June 2016
Philip Dames, Mac Schwager, Daniela Rus, and Vijay Kumar. "Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles." IEEE Robotics and Automation Letters, 1.1 (2016): 153-160.
Philip Dames, Pratap Tokekar, and Vijay Kumar. "Detecting, Localizing, and Tracking an Unknown Number of Moving Targets Using a Team of Mobile Robots." International Symposium on Robotics Research (ISRR). 2015.
Philip Dames and Vijay Kumar. "Autonomous Localization of an Unknown Number of Targets without Data Association Using Teams of Mobile Sensors." IEEE Transactions on Automation Science and Engineering 12.3 (2015): 850-864.
Jonas Cleveland, Dinesh Thakur, Philip Dames, Cody Phillips, Terry Kientz, Kostas Daniilidis, John Bergstrom, and Vijay Kumar. "An Automated System for Semantic Object Labeling with Soft Object Recognition and Dynamic Programming Segmentation." IEEE International Conference on Automation Science and Engineering (CASE). 2015.
Philip Dames, Dinesh Thakur, Mac Schwager, and Vijay Kumar. "Playing Fetch with Your Robot: The Ability of Robots to Locate and Interact with Objects." IEEE Robotics and Automation Magazine 21.2 (2014): 46-52.
Robotic mapping and target tracking
Multi-robot path planning
Machine learning and semantic labeling
Applications to disaster response, environmental monitoring, agriculture, and infrastructure inspection