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ORCIDYunlong Song
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2020 – today
- 2024
[j9]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: 3044-3067 (2024)- [c16]Nico Messikommer, Yunlong Song, Davide Scaramuzza:
Contrastive Initial State Buffer for Reinforcement Learning. ICRA 2024: 2866-2872 - [c15]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. ICRA 2024: 5330-5337 - [c14]Angel Romero, Yunlong Song, Davide Scaramuzza:
Actor-Critic Model Predictive Control. ICRA 2024: 14777-14784 - [i24]Yunlong Song, Sangbae Kim, Davide Scaramuzza:
Learning Quadruped Locomotion Using Differentiable Simulation. CoRR abs/2403.14864 (2024) - [i23]Yunlong Song, Davide Scaramuzza:
Agile Robotics: Optimal Control, Reinforcement Learning, and Differentiable Simulation. CoRR abs/2407.01568 (2024) - [i22]Yuang Zhang, Yu Hu, Yunlong Song, Danping Zou, Weiyao Lin:
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics. CoRR abs/2407.10648 (2024) - [i21]Jing Yuan Luo, Yunlong Song, Victor Klemm, Fan Shi, Davide Scaramuzza, Marco Hutter:
Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation. CoRR abs/2410.03076 (2024) - [i20]Johannes Heeg, Yunlong Song, Davide Scaramuzza:
Learning Quadrotor Control From Visual Features Using Differentiable Simulation. CoRR abs/2410.15979 (2024) - 2023
- [j8]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) - [j7]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): 966-979 (2023) - [c13]Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza:
Weighted Maximum Likelihood for Controller Tuning. ICRA 2023: 1334-1341 - [c12]Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza:
Learning Perception-Aware Agile Flight in Cluttered Environments. ICRA 2023: 1989-1995 - [c11]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-Based Autonomous Drone Racing. IROS 2023: 5243-5250 - [i19]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. CoRR abs/2301.01755 (2023) - [i18]Angel Romero, Yunlong Song, Davide Scaramuzza:
Actor-Critic Model Predictive Control. CoRR abs/2306.09852 (2023) - [i17]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 abs/2307.06100 (2023) - [i16]Nico Messikommer, Yunlong Song, Davide Scaramuzza:
Contrastive Initial State Buffer for Reinforcement Learning. CoRR abs/2309.09752 (2023) - [i15]Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza:
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-based Agile Flight. CoRR abs/2309.09865 (2023) - [i14]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 abs/2309.12784 (2023) - [i13]Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR abs/2310.10943 (2023) - [i12]Yunlong Song, Davide Scaramuzza:
Flymation: Interactive Animation for Flying Robots. CoRR abs/2310.11659 (2023) - 2022
- [j6]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. IEEE Robotics Autom. Lett. 7(3): 7209-7216 (2022) - [j5]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): 148-156 (2022) - [j4]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) - [j3]Yunlong Song, Davide Scaramuzza:
Policy Search for Model Predictive Control With Application to Agile Drone Flight. IEEE Trans. Robotics 38(4): 2114-2130 (2022) - [c10]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: 216-227 - [i11]Robert Penicka, Yunlong Song, Elia Kaufmann, Davide Scaramuzza:
Learning Minimum-Time Flight in Cluttered Environments. CoRR abs/2203.15052 (2022) - [i10]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 abs/2208.10473 (2022) - [i9]Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza:
Learning Perception-Aware Agile Flight in Cluttered Environments. CoRR abs/2210.01841 (2022) - [i8]Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza:
Weighted Maximum Likelihood for Controller Tuning. CoRR abs/2210.11087 (2022) - [i7]Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, Davide Scaramuzza:
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing. CoRR abs/2210.14985 (2022) - 2021
- [j2]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): 4257-4264 (2021) - [c9]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. ICRA 2021: 9403-9409 - [c8]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. IROS 2021: 1205-1212 - [i6]Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing with Deep Reinforcement Learning. CoRR abs/2103.08624 (2021) - [i5]Yunlong Song, HaoChih Lin, Elia Kaufmann, Peter Dürr, Davide Scaramuzza:
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning. CoRR abs/2103.14666 (2021) - [i4]Yunlong Song, Davide Scaramuzza:
Policy Search for Model Predictive Control with Application to Agile Drone Flight. CoRR abs/2112.03850 (2021) - 2020
- [c7]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRL 2020: 1147-1157 - [c6]Yunlong Song, Davide Scaramuzza:
Learning High-Level Policies for Model Predictive Control. IROS 2020: 7629-7636 - [i3]Yunlong Song, Davide Scaramuzza:
Learning High-Level Policies for Model Predictive Control. CoRR abs/2007.10284 (2020) - [i2]Florian Fuchs, Yunlong Song, Elia Kaufmann, Davide Scaramuzza, Peter Dürr:
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning. CoRR abs/2008.07971 (2020) - [i1]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRR abs/2009.00563 (2020)
2010 – 2019
- 2016
- [j1]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): 6:1-6:19 (2016) - 2014
- [c5]Yunlong Song, Min Liu:
Greedy-based distributed algorithms for green traffic routing. ICCCN 2014: 1-8 - [c4]Yunlong Song, Min Liu:
Towards the emergency for Green Networking with robust algorithm. ISCC 2014: 1-6 - 2012
- [c3]Yunlong Song, Min Liu:
Understanding the basic principles implied in green traffic routing. ISCC 2012: 454-459 - [c2]Yunlong Song, Min Liu, Shaojie Tang, XuFei Mao:
Time series matrix factorization prediction of internet traffic matrices. LCN 2012: 284-287 - 2011
- [c1]Yunlong Song, Min Liu, Yuwei Wang:
Power-Aware Traffic Engineering with Named Data Networking. MSN 2011: 289-296
Coauthor Index
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last updated on 2024-11-26 21:45 CET by the dblp team
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