Philip Dames

Philip Dames

  • College of Engineering

    Mechanical Engineering

    Associate Professor

Office Location

Engineering 608A

Phone

215-204-7974

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 1102

Introduction to Engineering Problem Solving

Undergraduate

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. (2023). The Convex Uncertain Voronoi Diagram for Safe Multi-Robot Multi-Target Tracking Under Localization Uncertainty. Journal of Intelligent & Robotic Systems, 109(4). Springer Science and Business Media LLC. doi: 10.1007/s10846-023-01986-0

  • Chen, J., Abugurain, M., Dames, P., & Park, S. (2023). Distributed Multi-Robot Multi-Target Tracking Using Heterogeneous
    Limited-Range Sensors.     Retrieved from http://arxiv.org/

  • Xie, Z. & Dames, P. (2023). DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles. IEEE Transactions on Robotics, 39(4), pp. 2700-2719. Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tro.2023.3257549

  • Xie, Z. & Dames, P. (2023). DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using
    Velocity Obstacles.     Retrieved from http://arxiv.org/

  • Xie, Z. & Dames, P. (2022). Stochastic Occupancy Grid Map Prediction in Dynamic Scenes. Retrieved from http://arxiv.org/

  • 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

  • Chen, J. & Dames, P. (2022). Multi-class Target Tracking Using the Semantic PHD Filter. ROBOTICS RESEARCH: the 19TH INTERNATIONAL SYMPOSIUM ISRR, 20, pp. 526-541. doi: 10.1007/978-3-030-95459-8_32

  • 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