Blog
Summer 2023
First Place Solution in Summer 2023 Simulation Racing Series
Written by Derek Chen, this paper describes his thought process for his first place solution in the Summer 2023 Simulation Racing Series Competition.
Second Place Solution in Summer 2023 Simulation Racing Series
Written by Mark Menaker, Arvind Krishna Sivakumar, Saul Statman
Third Place Solution in Summer 2023 Simulation Racing Series
Written by Krishay Garg, a junior at American High School (Fremont, CA), this paper describes his third place solution in the Summer 2023 ROAR Competition.
Spring 2023
First Place Solution in Spring 2023 Simulation Racing Series
Written by Aaron Xie, this paper describes his team’s experience and thought process for their first place solution in the Spring 2023 Simulation Racing Series Competition with teammate Tristan Needham.
Summer 2022
First Place Solution in 2022 Summer ROAR S1/S2 Series
Written by Daniel Chuang, this paper describes his team’s experience and thought process for their first place solution in the Summer 2022 ROAR S1/S2 Series Competition with teammates Lucy Wang and Chris Wang. Iterating off of Aaron Xie’s previous winning solution, the team reprogrammed the car’s controller to be more aggressive, and developed a suite of tools to optimize testing and waypoint tuning.
Third Place Solution in 2022 Summer ROAR S1/S2 Series
Written by Vivian Zhu, a student from Vista del Lago High School, describing her experience and solution for her third place solution in Summer 2022 ROAR S1/S2 Series Competition.
Spring 2022
First Place Solution in 2022 ROAR S1/S2 Series Game
Written by Aaron Xie, our ROAR ambassador from Campolindo High School, describing his experience and solution for his first place solution in Spring 2022 ROAR S1/S2 Series Competition.
Second Place Solution in 2022 Spring ROAR S1/S2 Series
Written by Cameron Shaw, Kaveer Gera, Dorian Kolis, and Phillip McClure, our ambassador and his team from Athenian High School, describing their solution for the Spring 2022 ROAR S1/S2 Series competition.
ROAR End-to-End Reinforcement Learning
Written by Xuan Liu, Federico Palacios, and Franco Leonardo Huang from the University of California, Berkeley.
Fall 2021
First Place Solution in 2021 ROAR S1 Series Game
Written by Ryan Chen describing his experience and solution for his first place solution in Fall 2021 ROAR S1 Series Competition.
Second Place Solution in 2021 ROAR S1 Series Game
Written by Aaron Xie describing his experience and solution for his second place solution in Fall 2021 ROAR S1 Series Competition.
Third Place Solution in 2021 Fall ROAR S1 Series
Written by Tianlun Zhang and Star Li describing his experience and solution for their third place solution in Fall 2021 ROAR S1 Series Competition.
Summer 2021
First Place Solution in 2021 ROAR S2 Series Game
Written by Peter Peng describing his experience and solution for their first place solution in Summer 2021 ROAR S2 Series Competition.
Spring 2021
First Place Solution in 2021 ROAR S1 Series Game
Written by James Cheney describing his experience and solution for their first place solution in Spring 2021 ROAR S1 Series Competition.
Fall 2020
First Place Solution in 2020 ROAR S1 Series Game
Written by Alfredo, Alvin, Aman, Sihao, and Wesley, and describes what they did for their EECS 106A/206A final project at UC Berkeley during Fall 2020.
Second Place Solution and Experience in 2020 ROAR S1 Series Game
Written by Deng Shuwen, Wu Zheyuan, Zang Linfeng, and describes what they did for their EECS 106A/206A final project at UC Berkeley, the racing, and data collection by Yu Qiushuang during Fall 2020.
Third Place Solution and Experience in 2020 ROAR S1 Series Game
Written by Michael Wu, Flaviano Christian Reyes, James Cheney, Marleah Puckett, and Jonathan Wong describing their experience and solution for their EECS 106A/206A final project at UC Berkeley during Fall 2020.
Please email your submissions directly to hc_kuan@berkeley.edu. Posts can be in word or pdf format, and please send me photos in png or jpg form.