Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning

17 October 2023

Papers citing "Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning"

35 / 35 papers shown

Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing Benedict Hildisch Edoardo Ghignone Nicolas Baumann Cheng Hu Andrea Carron Michele Magno 34 0 0 12 May 2025
YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework from Perception to Action Junjie Lu Yulin Hui Xuewei Zhang Wencan Feng Hongming Shen Zhiyu Li Bailing Tian 29 0 0 11 May 2025
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems Chelsea Sidrane Jana Tumova 29 0 0 06 May 2025
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing Amirhossein Zhalehmehrabi Daniele Meli Francesco Dal Santo Francesco Trotti Alessandro Farinelli 29 0 0 25 Apr 2025
Accurate Control under Voltage Drop for Rotor Drones Yuhang Liu Jindou Jia Zihan Yang Kexin Guo 54 0 0 12 Mar 2025
TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning Zikang Yin CanLun Zheng Shiliang Guo Zhenting Wang Shiyu Zhao 79 0 0 03 Mar 2025
A Simulation Pipeline to Facilitate Real-World Robotic Reinforcement Learning Applications Jefferson Silveira Joshua A. Marshall Sidney N. Givigi Jr 62 0 0 24 Feb 2025
Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement Learning Y. Hsiao Wei-Tung Chen Yun-Sheng Chang Pulkit Agrawal Yufeng Chen 78 0 0 17 Feb 2025
Learning Quiet Walking for a Small Home Robot Ryo Watanabe Takahiro Miki Fan Shi Yuki Kadokawa Filip Bjelonic Kento Kawaharazuka Andrei Cramariuc Marco Hutter 44 1 0 16 Feb 2025
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation Minwoo Kim Geunsik Bae Jinwoo Lee Woojae Shin Changseung Kim Myong-Yol Choi Heejung Shin H. Oh 81 0 0 04 Feb 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 74 1 0 24 Jan 2025
Harvesting energy from turbulent winds with Reinforcement Learning Lorenzo Basile Maria Grazia Berni Antonio Celani 72 0 0 18 Dec 2024
Continuous-Time Line-of-Sight Constrained Trajectory Planning for 6-Degree of Freedom Systems Christopher R. Hayner John M. Carson III Behçet Açıkmeşe Karen Leung 42 0 0 29 Oct 2024
Environment as Policy: Learning to Race in Unseen Tracks Hongze Wang Jiaxu Xing Nico Messikommer Davide Scaramuzza 29 1 0 29 Oct 2024
Learning Quadrotor Control From Visual Features Using Differentiable Simulation Johannes Heeg Yunlong Song Davide Scaramuzza 40 5 0 21 Oct 2024
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning X. Wang Jin Zhou Yuanli Feng Jiahao Mei Jiming Chen Shuo Li 39 1 0 25 Sep 2024
Reactive Collision Avoidance for Safe Agile Navigation Alessandro Saviolo Niko Picello Rishabh Verma Giuseppe Loianno Giuseppe Loianno 35 0 0 18 Sep 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 44 5 0 14 Aug 2024
Automatic Environment Shaping is the Next Frontier in RL Younghyo Park G. Margolis Pulkit Agrawal OffRL 40 3 0 23 Jul 2024
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics Yuang Zhang Yu Hu Yunlong Song Danping Zou Weiyao Lin 38 17 0 15 Jul 2024
AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion Diego Martínez Baselga Eduardo Sebastián Eduardo Montijano L. Riazuelo C. Sagüés Luis Montano 78 2 0 29 Jun 2024
Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning Wei Xiao Zhaohan Feng Ziyu Zhou Jian Sun Gang Wang Jie Chen 41 1 0 28 Jun 2024
Learning Speed Adaptation for Flight in Clutter Guangyu Zhao Tianyue Wu Yeke Chen Fei Gao 46 7 0 07 Mar 2024
Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments Zhaohan Feng Jie Chen Wei Xiao Jian Sun Bin Xin Gang Wang 42 2 0 18 Jan 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay Atanasov 28 10 0 17 Jan 2024
End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight Robin Ferede Christophe De Wagter Dario Izzo Guido C. H. E de Croon 30 9 0 28 Nov 2023
Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control Kerianne L. Hobbs Bernard Li 20 2 0 15 Nov 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control Baha Zarrouki Chenyang Wang Johannes Betz 24 2 0 07 Nov 2023
Learning-Initialized Trajectory Planning in Unknown Environments Yicheng Chen Jinjie Li Wenyuan Qin Yongzhao Hua Xiwang Dong Qingdong Li 21 0 0 19 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 44 9 0 18 Sep 2023
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 44 35 0 16 Jun 2023
Optimality Principles in Spacecraft Neural Guidance and Control Dario Izzo E. Blazquez Robin Ferede Sebastien Origer Christophe De Wagter Guido C. H. E de Croon 24 8 0 22 May 2023
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots Mingeuk Kim Kwang-Ki K. Kim 32 3 0 04 Aug 2022
PAMPC: Perception-Aware Model Predictive Control for Quadrotors Davide Falanga Philipp Foehn Peng Lu Davide Scaramuzza 69 215 0 13 Apr 2018