Yunlong Song

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Reinforcement Learning

Model Predictive Control

Top Venues

IEEE Trans. Robotics

Publications

Angel Romero, Yunlong Song, Davide Scaramuzza
Actor-Critic Model Predictive Control. ICRA (2024)
Yuang Zhang, Yu Hu, Yunlong Song, Danping Zou, Weiyao Lin
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics. CoRR (2024)
Yunlong Song, Sangbae Kim, Davide Scaramuzza
Learning Quadruped Locomotion Using Differentiable Simulation. CoRR (2024)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. IEEE Trans. Robotics 40 (2024)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. ICRA (2024)
Yunlong Song, Davide Scaramuzza
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. CoRR (2024)
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. ICRA (2024)
Angel Romero, Yunlong Song, Davide Scaramuzza
Actor-Critic Model Predictive Control. CoRR (2023)
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
Learning Perception-Aware Agile Flight in Cluttered Environments. ICRA (2023)
Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS (2023)
Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR (2023)
Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza
Learning to Walk and Fly with Adversarial Motion Priors. CoRR (2023)
Yunlong Song, Yaqiong Liu, Yan Zhang, Zhifu Li, Guochu Shou
Latency Minimization for Mobile Edge Computing Enhanced Proximity Detection in Road Networks. IEEE Trans. Netw. Sci. Eng. 10 (2) (2023)
Nico Messikommer, Yunlong Song, Davide Scaramuzza
Contrastive Initial State Buffer for Reinforcement Learning. CoRR (2023)
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. CoRR (2023)
Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics 8 (82) (2023)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. CoRR (2023)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. CoRR (2023)
Yunlong Song, Davide Scaramuzza
Flymation: Interactive Animation for Flying Robots. CoRR (2023)
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
Weighted Maximum Likelihood for Controller Tuning. ICRA (2023)
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
Learning Perception-Aware Agile Flight in Cluttered Environments. CoRR (2022)
Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza
Learning Minimum-Time Flight in Cluttered Environments. CoRR (2022)
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. 29 (4) (2022)
Diansen Sun, Yunlong Song, Yunpeng Chai, Baoling Peng, Fangzhou Lu, Xiang Deng
Light-GC: a lightweight and efficient garbage collection scheme for embedded file systems. Middleware (2022)
Yunlong Song, Davide Scaramuzza
Policy Search for Model Predictive Control With Application to Agile Drone Flight. IEEE Trans. Robotics 38 (4) (2022)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Sci. Robotics 7 (67) (2022)
Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing. CoRR (2022)
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR (2022)
Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza
Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7 (3) (2022)
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
Weighted Maximum Likelihood for Controller Tuning. CoRR (2022)
Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing with Deep Reinforcement Learning. IROS (2021)
Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing with Deep Reinforcement Learning. CoRR (2021)
Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. ICRA (2021)
Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. CoRR (2021)
Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (3) (2021)
Yunlong Song, Davide Scaramuzza
Policy Search for Model Predictive Control with Application to Agile Drone Flight. CoRR (2021)
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
Flightmare: A Flexible Quadrotor Simulator. CoRR (2020)
Yunlong Song, Davide Scaramuzza
Learning High-Level Policies for Model Predictive Control. IROS (2020)
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
Flightmare: A Flexible Quadrotor Simulator. CoRL (2020)
Yunlong Song, Davide Scaramuzza
Learning High-Level Policies for Model Predictive Control. CoRR (2020)
Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. CoRR (2020)
Tailong Lei, Youyong Li, Yunlong Song, Dan Li, Huiyong Sun, Tingjun Hou
ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling. J. Cheminformatics 8 (1) (2016)
Yunlong Song, Min Liu
Greedy-based distributed algorithms for green traffic routing. ICCCN (2014)
Yunlong Song, Min Liu
Towards the emergency for Green Networking with robust algorithm. ISCC (2014)
Yunlong Song, Min Liu
Understanding the basic principles implied in green traffic routing. ISCC (2012)
Yunlong Song, Min Liu, Shaojie Tang, XuFei Mao
Time series matrix factorization prediction of internet traffic matrices. LCN (2012)
Yunlong Song, Min Liu, Yuwei Wang
Power-Aware Traffic Engineering with Named Data Networking. MSN (2011)