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Rahul Mangharam
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Publications
- 2023
- [c100]Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan:
Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor. ICAR 2023: 325-331 - [c99]Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. ICRA 2023: 11742-11748 - [c97]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. IV 2023: 1-5 - [i35]Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes Betz, Rahul Mangharam:
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform. CoRR abs/2302.08613 (2023) - 2022
- [c93]Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. COMSNETS 2022: 859-864 - [c92]Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam:
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. IV 2022: 806-812 - [c91]Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. IV 2022: 1757-1764 - [i25]Johannes Betz, Hongrui Zheng, Alexander Liniger, Ugo Rosolia, Phillip Karle, Madhur Behl, Venkat Krovi, Rahul Mangharam:
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. CoRR abs/2202.07008 (2022) - [i24]Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Gradient-free Multi-domain Optimization for Autonomous Systems. CoRR abs/2202.13525 (2022) - [i23]Zirui Zang, Renukanandan Tumu, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Winning the 3rd Japan Automotive AI Challenge - Autonomous Racing with the Autoware.Auto Open Source Software Stack. CoRR abs/2206.00770 (2022) - [i21]Hongrui Zheng, Zhijun Zhuang, Johannes Betz, Rahul Mangharam:
Game-theoretic Objective Space Planning. CoRR abs/2209.07758 (2022) - [i19]Benjamin David Evans, Johannes Betz, Hongrui Zheng, Herman A. Engelbrecht, Rahul Mangharam, Hendrik W. Jordaan:
Accelerating Online Reinforcement Learning via Supervisory Safety Systems. CoRR abs/2209.11082 (2022) - [i18]Johannes Betz, Hongrui Zheng, Zirui Zang, Florian Sauerbeck, Krzysztof Walas, Velin Dimitrov, Madhur Behl, Rosa Zheng, Joydeep Biswas, Venkat Krovi, Rahul Mangharam:
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom. CoRR abs/2209.11181 (2022) - [i17]Zirui Zang, Hongrui Zheng, Johannes Betz, Rahul Mangharam:
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks. CoRR abs/2209.11925 (2022) - [i16]Xiatao Sun, Mingyan Zhou, Zhijun Zhuang, Shuo Yang, Johannes Betz, Rahul Mangharam:
A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing. CoRR abs/2209.15073 (2022) - 2021
- [i9]Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. CoRR abs/2107.09782 (2021) - [i8]Stanley Bak, Johannes Betz, Abhinav Chawla, Hongrui Zheng, Rahul Mangharam:
Stress Testing Autonomous Racing Overtake Maneuvers with RRT. CoRR abs/2110.01095 (2021)
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