Biography
Philip Dames is an Associate Professor of Mechanical Engineering at Temple University, where he directs the Temple Robotics and Artificial Intelligence Lab (TRAIL). Prior to joining Temple, he was a Postdoctoral Researcher in Electrical and Systems Engineering at the University of Pennsylvania. He received his PhD Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 2015 and his BS and MS degrees in Mechanical Engineering from Northwestern University in 2010. He is the recipient of an NSF CAREER award. His research aims to improve robots’ ability to operate in complex, real-world environments to address societal needs.
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 2332 | Engineering Dynamics | Undergraduate |
MEE 3011 | Analysis and Computation of Linear Systems in Mechanical Engineering | Undergraduate |
MEE 4411 | Introduction to Mobile Robotics | Undergraduate |
MEE 5110 | Special Topics: Robotics at Work - ME Certificate | Graduate |
MEE 5411 | Introduction to Mobile Robotics | Graduate |
MEE 8411 | Probabilistic Robotics | Graduate |
Selected Publications
Recent
Xie, Z. & Dames, P. (2024). Semantic2D: A Semantic Dataset for 2D Lidar Semantic Segmentation. Retrieved from http://arxiv.org/abs/2409.09899v1.
Srivastava, A.K. & Dames, P. (2024). Speech-Guided Sequential Planning for Autonomous Navigation using Large Language Model Meta AI 3 (Llama3). Retrieved from http://arxiv.org/abs/2407.09890v2.
Xie, Z. & Dames, P. (2024). SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation. Retrieved from http://arxiv.org/abs/2407.00144v1.
Xin, P., Xie, Z., & Dames, P. (2024). Towards Predicting Collective Performance in Multi-Robot Teams. Retrieved from http://arxiv.org/abs/2405.01771v1.
Chen, T., Shorinwa, O., Bruno, J., Yu, J., Zeng, W., Nagami, K., Dames, P., & Schwager, M. (2024). Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps. Retrieved from http://arxiv.org/abs/2403.02751v2.
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/abs/2311.01707v2.
Xie, Z. & Dames, P. (2023). DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles. IEEE Transactions on Robotics, 39(4), 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/abs/2301.06512v2.
Xiao, X., Xu, Z., Wang, Z., Song, Y., Warnell, G., Stone, P., Zhang, T., Ravi, S., Wang, G., Karnan, H., Biswas, J., Mohammad, N., Bramblett, L., Peddi, R., Bezzo, N., Xie, Z., & Dames, P. (2022). Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics & Automation Magazine, 29(4), 148-156. Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/mra.2022.3213466.
Xie, Z. & Dames, P. (2022). Stochastic Occupancy Grid Map Prediction in Dynamic Scenes. Retrieved from http://arxiv.org/abs/2210.08577v2.
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. 10.1016/j.robot.2021.103947
Dames, P. (2020). Distributed multi-target search and tracking using the PHD filter. Autonomous Robots, 44(3-4), 673-689. doi: 10.1007/s10514-019-09840-9.
Cobb, P., Earley-Spadoni, T., & Dames, P. (2019). Centimeter-Level Recording for All: Field Experimentation with New, Affordable Geolocation Technology. Advances in Archaeological Practice, 7(4), 353-365. doi: 10.1017/aap.2019.21.