Biography

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.

Labs: Lab

Research Interests

  • Robotics
  • Active Sensing
  • Multi-Robot Coordination
  • Mapping & Target Tracking.

Courses Taught

Number

Name

Level

ENGR 2331

Engineering Statics

Undergraduate

ENGR 2332

Engineering Dynamics

Undergraduate

MEE 4411

Introduction to Mobile Robotics

Undergraduate

MEE 5110

Special Topics: ME Certificate Course - Introduction to Robotics

Graduate

MEE 5411

Introduction to Mobile Robotics

Graduate

Selected Publications

  • Chen, J. & Dames, P. (2022). Active Multi-Target Search Using Distributed Thompson Sampling. doi: 10.21203/rs.3.rs-1849567/v1

  • Chen, J. & Dames, P. (2022). The Convex Uncertain Voronoi Diagram for Safe Multi-Robot Multi-Target Tracking Under Localization Uncertainty. doi: 10.21203/rs.3.rs-1530901/v1

  • Chen, J., Xie, Z., & Dames, P. (2022). The semantic PHD filter for multi-class target tracking: From theory to practice. ROBOTICS and AUTONOMOUS SYSTEMS, 149. doi: 10.1016/j.robot.2021.103947

  • Xie, Z., Xin, P., Dames, P., & IEEE (2021). Towards Safe Navigation Through Crowded Dynamic Environments. 2021 IEEE/RSJ INTERNATIONAL CONFERENCE on INTELLIGENT ROBOTS and SYSTEMS (IROS), pp. 4934-4940. doi: 10.1109/IROS51168.2021.9636102

  • Chen, J., Dames, P., & IEEE (2021). Distributed Multi-Target Tracking for Heterogeneous Mobile Sensing Networks with Limited Field of Views. 2021 IEEE INTERNATIONAL CONFERENCE on ROBOTICS and AUTOMATION (ICRA 2021), pp. 9058-9064. doi: 10.1109/ICRA48506.2021.9561888

  • Wang, D., Lutz, B., Cobb, P.J., Dames, P., & IEEE (2021). RASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion. 2021 IEEE INTERNATIONAL CONFERENCE on ROBOTICS and AUTOMATION (ICRA 2021), pp. 6378-6384. doi: 10.1109/ICRA48506.2021.9561057

  • Chen, J. & Dames, P. (2020). Collision-free distributed multi-target tracking using teams of mobile robots with localization uncertainty. IEEE International Conference on Intelligent Robots and Systems, pp. 6968-6974. doi: 10.1109/IROS45743.2020.9341126

  • Chen, J. & Dames, P. (2020). Distributed and Collision-Free Coverage Control of a Team of Mobile Sensors Using the Convex Uncertain Voronoi Diagram. Proceedings of the American Control Conference, 2020-July, pp. 5307-5313. doi: 10.23919/ACC45564.2020.9147359

  • Dames, P.M. (2020). Distributed multi-target search and tracking using the PHD filter. Autonomous Robots, 44(3-4), pp. 673-689. doi: 10.1007/s10514-019-09840-9

  • Cobb, P.J., Earley-Spadoni, T., & Dames, P. (2019). Centimeter-Level Recording for All: Field Experimentation with New, Affordable Geolocation Technology. Advances in Archaeological Practice, 7(4), pp. 353-365. doi: 10.1017/aap.2019.21

  • Chung, S.J., Paranjape, A., Dames, P., Shen, S., & Kumar, V. (2018). Guest Editorial Special Section on Aerial Swarm Robotics. IEEE Transactions on Robotics, 34(4), pp. 835-836. doi: 10.1109/TRO.2018.2860098

  • Chung, S.J., Paranjape, A.A., Dames, P., Shen, S., & Kumar, V. (2018). A Survey on Aerial Swarm Robotics. IEEE Transactions on Robotics, 34(4), pp. 837-855. doi: 10.1109/TRO.2018.2857475

  • Carrillo, H., Dames, P., Kumar, V., & Castellanos, J.A. (2018). Autonomous robotic exploration using a utility function based on Rényi’s general theory of entropy. Autonomous Robots, 42(2), pp. 235-256. doi: 10.1007/s10514-017-9662-9

  • Dames, P. (2018). Distributed multi-target search and tracking using the PHD filter. 2017 International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2017, 2018-January, pp. 1-8. doi: 10.1109/MRS.2017.8250924

  • Dames, P., Tokekar, P., & Kumar, V. (2018). Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots., 2, pp. 513-529. doi: 10.1007/978-3-319-51532-8_31

  • Dames, P., Tokekar, P., & Kumar, V. (2017). Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots. International Journal of Robotics Research, 36(13-14), pp. 1540-1553. doi: 10.1177/0278364917709507

  • Cleveland, J., Thakur, D., Dames, P., Phillips, C., Kientz, T., Daniilidis, K., Bergstrom, J., & Kumar, V. (2017). Automated System for Semantic Object Labeling with Soft-Object Recognition and Dynamic Programming Segmentation. IEEE Transactions on Automation Science and Engineering, 14(2), pp. 820-833. doi: 10.1109/TASE.2016.2631085

  • Cleveland, J., Thakur, D., Dames, P., Phillips, C., Kientz, T., Daniilidis, K., Bergstrom, J., & Kumar, V. (2017). Automated System for Semantic Object Labeling With Soft-Object Recognition and Dynamic Programming Segmentation. IEEE TRANSACTIONS on AUTOMATION SCIENCE and ENGINEERING, 14(2), pp. 820-833. doi: 10.1109/TASE.2016.2631085

  • Schwager, M., Dames, P., Rus, D., & Kumar, V. (2017). A multi-robot control policy for information gathering in the presence of unknown hazards. Springer Tracts in Advanced Robotics, 100, pp. 455-472. doi: 10.1007/978-3-319-29363-9_26

  • Dames, P.M., Schwager, M., Rus, D., & Kumar, V. (2016). Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles. IEEE Robotics and Automation Letters, 1(1), pp. 153-160. doi: 10.1109/LRA.2015.2511444

  • Dames, P. & Kumar, V. (2015). Automated detection, localization, and registration of smart devices with multiple robots. IEEE International Conference on Automation Science and Engineering, 2015-October, pp. 564-571. doi: 10.1109/CoASE.2015.7294139

  • Cleveland, J., Thakur, D., Dames, P., Phillips, C., Kientz, T., Daniilidis, K., Bergstrom, J., & Kumar, V. (2015). An automated system for semantic object labeling with soft object recognition and dynamic programming segmentation. IEEE International Conference on Automation Science and Engineering, 2015-October, pp. 683-690. doi: 10.1109/CoASE.2015.7294159

  • Dames, P. & Kumar, V. (2015). 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), pp. 850-864. doi: 10.1109/TASE.2015.2425212

  • Carrillo, H., Dames, P., Kumar, V., & Castellanos, J.A. (2015). Autonomous robotic exploration using occupancy grid maps and graph SLAM based on Shannon and Rényi Entropy. Proceedings - IEEE International Conference on Robotics and Automation, 2015-June(June), pp. 487-494. doi: 10.1109/ICRA.2015.7139224

  • Dames, P. & Kumar, V. (2015). Experimental Characterization of a Bearing-only Sensor for Use With the
    PHD Filter.
    Retrieved from http://arxiv.org/

  • Dames, P., Thakur, D., Schwager, M., & Kumar, V. (2014). Playing fetch with your Robot: The ability of Robots to locate and interact with objects. IEEE Robotics and Automation Magazine, 21(2), pp. 46-52. doi: 10.1109/MRA.2013.2295947

  • Dames, P. & Kumar, V. (2013). Cooperative multi-target localization with noisy sensors. Proceedings - IEEE International Conference on Robotics and Automation, pp. 1877-1883. doi: 10.1109/ICRA.2013.6630825

  • Vose, T.H., Turpin, M.H., Dames, P.M., Umbanhowar, P., & Lynch, K.M. (2013). Modeling, design, and control of 6-DoF flexure-based parallel mechanisms for vibratory manipulation. Mechanism and Machine Theory, 64, pp. 111-130. doi: 10.1016/j.mechmachtheory.2012.12.007

  • Dames, P., Kumar, V., & IEEE (2013). Cooperative Multi-Target Localization With Noisy Sensors. 2013 IEEE INTERNATIONAL CONFERENCE on ROBOTICS and AUTOMATION (ICRA), pp. 1877-1883. Retrieved from http://gateway.webofknowledge.com/

  • Dames, P., Schwager, M., Kumar, V., & Rus, D. (2012). A decentralized control policy for adaptive information gathering in hazardous environments. Proceedings of the IEEE Conference on Decision and Control, pp. 2807-2813. doi: 10.1109/CDC.2012.6426239