Work

Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions]

Year: 2025

Type: article

Source: IEEE Robotics & Automation Magazine

DOI: 10.1109/mra.2025.3565211

Authors: Xuesu Xiao, Jie Tan, Michael Cho, David Hsu, Dhruv Shah, Joanne Truong, Ted Xiao, Naoki Yokoyama, Wenhao Yu, Tingnan Zhang, Zhuo Xu, Santiago Pravisani, Niresh Dravin, Mohammad Alshamsi

Institutions: George Mason University, Google (United States), National University of Singapore, Meta (United States), Georgia Institute of Technology

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4411337048

FWCI: 0.249

Cites: 17

Cited by: 1

Related to: 10