Pre-prints

  1. Huang, Z., Yang, Z., Krupani, R., Şenbaşlar, B., Batra, S., & Sukhatme, G. S. (2023). Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning. In arXiv preprint arXiv:2309.13285. (Submitted to ICRA 2024) [paper] [website]
  2. Şenbaşlar, B., Luiz, P., Hönig, W., & Sukhatme, G. S. (2023). MRNAV: Multi-robot aware planning and control stack for collision and deadlock-free navigation in cluttered environments. In arXiv preprint arXiv:2308.13499. [paper] [video]
  3. Şenbaşlar, B., & Sukhatme, G. S. (2023). DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments. In arXiv preprint arXiv:2307.15887. [paper] [video]
  4. Şenbaşlar, B., & Sukhatme, G. S. (2023). Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance. In arXiv preprint arXiv:2302.12873. [paper] [video]

Theses

  1. Şenbaşlar, B. (2023). Decentralized Real-Time Trajectory Planning for Multi-Robot Navigation in Cluttered Environments [PhD thesis]. University of Southern California. [thesis]

Journals

  1. Şenbaşlar, B., Hönig, W., & Ayanian, N. (2023). RLSS: real-time, decentralized, cooperative, networkless multi-robot trajectory planning using linear spatial separations. Autonomous Robots, 1–26. [paper] [video]

Conferences

  1. Şenbaşlar, B., & Sukhatme, G. S. (2022). Asynchronous Real-time Decentralized Multi-Robot Trajectory Planning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9972–9979. [paper]
  2. Ren, J., Sathiyanarayanan, V., Ewing, E., Şenbaşlar, B., & Ayanian, N. (2021). MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding Using Shortest Path Embeddings. Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 1055–1063. [paper] [code]
  3. Şenbaşlar, B., Hönig, W., & Ayanian, N. (2019). Robust trajectory execution for multi-robot teams using distributed real-time replanning. Distributed Autonomous Robotic Systems: The 14th International Symposium, 167–181. [paper] [code] [video]

Workshops, Symposia, and Abstracts

  1. Şenbaşlar, B., Hönig, W., & Ayanian, N. (2021). RLSS: Real-time multi-robot trajectory replanning using linear spatial separations. In ICRA 2021 "Robot Swarms in the Real World: From Design to Deployment" Workshop. [paper] [code] [video]
  2. Ren, J., Sathiyanarayanan, V., Ewing, E., Şenbaşlar, B., & Ayanian, N. (2021). Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract). In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, Number 18, pp. 15877–15878). [paper]