Yunlong Song <宋运龙>
Google Scholar, LinkedIn
I am a PhD student at the Robotics and Perception Group led by Prof. Davide Scaramuzza at the University of Zurich and ETH Zurich. Also, I am an Associated PhD Student at ETH AI Center. My research interests lie at the intersection between machine learning and robotics. Prior to RPG, I obtained my Msc degree in Information and Communication Engineering (iCE) from Technische Universität Darmstadt. My master thesis entitled "Minimax and Entropic Proximal Policy Optimization" was written under the supervision of Boris Belousov and Prof. Jan Peters.
Research Interests: Reinforcement Learning, Robot Learning, Autonomous Drone Navigation
News
- [June 2022]: 🔥 Our paper Agilicious: Open-source and Open-hardware Agile Quadrotor for Vision-based Flight is accepted to Science Robotics. Star (PDF)
- [June 2022]: 🔥 Our paper Learning Minimum-Time Flight in Cluttered Environments is accepted to RAL-IROS 2022. (YouTube, PDF)
- [March 2022]: 🔥 🔥 We are organizing a new competition called DodgeDrone Challenge: Vision-based Agile Drone Flight. Star (YouTube)
- [December 2021]: 🔥 Our paper (Policy Search for Model Predictive Control with Application to Agile Drone Flight) is accepted to T-RO. (YouTube,Website)
- [June 2021]: 🔥 Our work (Autonomous Drone Racing with Deep Reinforcement Learning) is accepted to IROS 2021. (YouTube)
- [March 2021]: 🔥 Our work (Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning ) is accepted to ICRA 2021. (YouTube)
- [February 2021]: 🎆 Our paper (Super-Human Performance in GTS Using Deep Reinforcement Learning) is accepted to RAL 2021. (Tech Xplore, IEEE Spectrum,Synced)
- [January 2021]: 🔥 Our Book (Reinforcement Learning Algorithms: Analysis and Applications) has been published and is available for purchase on Springer. ( My Chapter Information-Loss-Bounded Policy Optimization. )
- [October 2020]: 🔥 Our simulator (Flightmare: A Flexible Quadrotor simulator) is accepted to CoRL 2020. Star (IEEE Spectrum)
- [June 2020]: 🔥 Our paper (High-MPC: Learning High-Level Policies for Model Predictive Control) is accepted to IROS 2020. Star (YouTube)
Research Highlights
Contact
Yunlong Song
University of Zurich
Department of Informatics
Robotics and Perception Group
Andreasstrasse 15, AND 2.08
8050 Zurich
Switzerland
Email: song (at) ifi (dot) uzh (dot) ch
Office: +41 44 635 45 89