Publications

Journal Papers

S. Zhou, L. Brunke, A. Tao, A.W. Hall, F. Pizarro Bejarano, J. Panerati, and A.P. Schoellig, “What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities,” 2023. [paper]

A.H. Tan, F. Pizarro Bejarano, Y. Zhu, R. Ren, and G. Nejat, “Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions,” IEEE Robotics and Automation Letters, 8(1):272–279, 2023. [paper]

Conference Papers

F. Pizarro Bejarano, L. Brunke, and A.P. Schoellig, “Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon,” in Proceedings of the 62nd IEEE Conference on Decision and Control, 2023. [paper]

Preprints

F. Pizarro Bejarano, L. Brunke, and A.P. Schoellig, “Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents,” arXiv preprint arXiv:2410.11671, 2024. [preprint]

Theses

F. Pizarro Bejarano, “Research and Implementation of Decentralized Multi-Robot Coordination Methods Applied to Urban Search and Rescue,” Bachelor’s thesis, Toronto, 2021. Supervisor: Prof. Goldie Nejat (UofT) [preprint]

Workshops

Organizer for “Workshop on Semantics for Robotics: From Environment Understanding and Reasoning to Safe Interaction” at the Robotics: Science and Systems (RSS) Conference 2024 [workshop-link]

Organizer for “Workshop on Benchmarking, Reproducibility, and Open-Source Code in Controls” at the IEEE Conference on Decision and Control (CDC) 2023 [workshop-link]