ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.09370
  4. Cited By
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing
  -- A Reinforcement Learning Approach
v1v2 (latest)

TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach

19 May 2022
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
ArXiv (abs)PDFHTML

Papers citing "TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach"

10 / 10 papers shown
Title
Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
Emran Yasser Moustafa
Ivana Dusparic
96
0
0
13 Oct 2025
CIRO7.2: A Material Network with Circularity of -7.2 and Reinforcement-Learning-Controlled Robotic Disassembler
CIRO7.2: A Material Network with Circularity of -7.2 and Reinforcement-Learning-Controlled Robotic Disassembler
Federico Zocco
Monica Malvezzi
102
0
0
13 Jun 2025
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
185
0
0
12 May 2025
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions
Cheng Hu
Jihao Huang
Wule Mao
Yonghao Fu
Xuemin Chi
Haotong Qin
Nicolas Baumann
Zhitao Liu
Michele Magno
Lei Xie
227
1
0
08 Mar 2025
Partial End-to-end Reinforcement Learning for Robustness Against
  Modelling Error in Autonomous Racing
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
Andrew Murdoch
J. C. Schoeman
H. W. Jordaan
225
2
0
11 Dec 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory
  Control
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
Bernd Frauenknecht
Tobias Ehlgen
Sebastian Trimpe
197
4
0
30 Nov 2023
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
NanoSLAM: Enabling Fully Onboard SLAM for Tiny RobotsIEEE Internet of Things Journal (IEEE IoT J.), 2023
Vlad Niculescu
T. Polonelli
Michele Magno
Luca Benini
270
24
0
21 Sep 2023
Towards Robust Velocity and Position Estimation of Opponents for
  Autonomous Racing Using Low-Power Radar
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power RadarInternational Workshop on Advances in Sensors and Interfaces (IWASI), 2023
Andrea Ronco
Nicolas Baumann
Marco Giordano
Michele Magno
221
2
0
04 Sep 2023
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement
  Learning
High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2023
B. D. Evans
H. Engelbrecht
H. W. Jordaan
218
28
0
12 Jun 2023
Hierarchical Control for Head-to-Head Autonomous Racing
Hierarchical Control for Head-to-Head Autonomous RacingField Robotics (FR), 2022
Rishabh Saumil Thakkar
Aryaman Singh Samyal
David Fridovich-Keil
Zhe Xu
Ufuk Topcu
314
6
0
25 Feb 2022
1