Yunlong Song

According to our database, Yunlong Song authored at least 35 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Multi-Task Reinforcement Learning for Quadrotors.

Jiaxu Xing, Ismail Geles, Yunlong Song, Elie Aljalbout, Davide Scaramuzza

IEEE Robotics Autom. Lett., March, 2025

2024

Autonomous Drone Racing: A Survey.

Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza

IEEE Trans. Robotics, 2024

Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera.

Yu Hu, Yuang Zhang, Yunlong Song, Yang Deng, Feng Yu, Linzuo Zhang, Weiyao Lin, Danping Zou, Wenxian Yu

CoRR, 2024

Learning Quadrotor Control From Visual Features Using Differentiable Simulation.

Johannes Heeg, Yunlong Song, Davide Scaramuzza

CoRR, 2024

Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation.

Jing Yuan Luo, Yunlong Song, Victor Klemm, Fan Shi, Davide Scaramuzza, Marco Hutter

CoRR, 2024

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics.

Yuang Zhang, Yu Hu, Yunlong Song, Danping Zou, Weiyao Lin

CoRR, 2024

Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation.

Yunlong Song, Davide Scaramuzza

CoRR, 2024

Learning Quadruped Locomotion Using Differentiable Simulation.

Yunlong Song, Sangbae Kim, Davide Scaramuzza

CoRR, 2024

Learning to Walk and Fly with Adversarial Motion Priors.

Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight.

Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Actor-Critic Model Predictive Control.

Angel Romero, Yunlong Song, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Contrastive Initial State Buffer for Reinforcement Learning.

Nico Messikommer, Yunlong Song, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning.

Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

Sci. Robotics, September, 2023

Latency Minimization for Mobile Edge Computing Enhanced Proximity Detection in Road Networks.

Yunlong Song, Yaqiong Liu, Yan Zhang, Zhifu Li, Guochu Shou

IEEE Trans. Netw. Sci. Eng., 2023

Flymation: Interactive Animation for Flying Robots.

Yunlong Song, Davide Scaramuzza

CoRR, 2023

Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing.

Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza

IROS, 2023

Learning Perception-Aware Agile Flight in Cluttered Environments.

Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Weighted Maximum Likelihood for Controller Tuning.

Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Policy Search for Model Predictive Control With Application to Agile Drone Flight.

Yunlong Song, Davide Scaramuzza

IEEE Trans. Robotics, 2022

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight.

Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza

Sci. Robotics, 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions].

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

IEEE Robotics Autom. Mag., 2022

Learning Minimum-Time Flight in Cluttered Environments.

Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 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

CoRR, 2022

Light-GC: a lightweight and efficient garbage collection scheme for embedded file systems.

Diansen Sun, Yunlong Song, Yunpeng Chai, Baoling Peng, Fangzhou Lu, Xiang Deng

Proceedings of the Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7, 2022

2021

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning.

Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr

IEEE Robotics Autom. Lett., 2021

Autonomous Drone Racing with Deep Reinforcement Learning.

Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning.

Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning High-Level Policies for Model Predictive Control.

Yunlong Song, Davide Scaramuzza

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Flightmare: A Flexible Quadrotor Simulator.

Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza

Proceedings of the 4th Conference on Robot Learning, 2020

2016

ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling.

Tailong Lei, Youyong Li, Yunlong Song, Dan Li, Huiyong Sun, Tingjun Hou

J. Cheminformatics, 2016

2014

Towards the emergency for Green Networking with robust algorithm.

Yunlong Song, Min Liu

Proceedings of the IEEE Symposium on Computers and Communications, 2014

Greedy-based distributed algorithms for green traffic routing.

Yunlong Song, Min Liu

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

2012

Time series matrix factorization prediction of internet traffic matrices.

Yunlong Song, Min Liu, Shaojie Tang, XuFei Mao

Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

Understanding the basic principles implied in green traffic routing.

Yunlong Song, Min Liu

Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

2011

Power-Aware Traffic Engineering with Named Data Networking.

Yunlong Song, Min Liu, Yuwei Wang

Proceedings of the Seventh International Conference on Mobile Ad-hoc and Sensor Networks, 2011