Publications (7)
From Zero to High-Speed Racing: An Autonomous Racing Stack
Hassan Jardali, Durgakant Pushp, Youwei Yu +9
High-speed, head-to-head autonomous racing presents substantial technical and logistical challenges, including precise localization, rapid perception, dynamic planning, and real-ti…
Fast Extrinsic Calibration for Multiple Inertial Measurement Units in Visual-Inertial System
Youwei Yu, Yanqing Liu, Fengjie Fu +5
In this paper, we propose a fast extrinsic calibration method for fusing multiple inertial measurement units (MIMU) to improve visual-inertial odometry (VIO) localization accuracy.…
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
Youwei Yu, Junhong Xu, Lantao Liu
Model-free reinforcement learning has emerged as a powerful method for developing robust robot control policies capable of navigating through complex and unstructured terrains. The…
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Youwei Yu, Lantao Liu
Deep reinforcement learning can seamlessly transfer agile locomotion and navigation skills from the simulator to real world. However, bridging the sim-to-real gap with domain rando…
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
Youwei Yu, Jionghao Wang, Zhengming Yu +2
Designing learnable information-theoretic objectives for robot exploration remains challenging. Such objectives aim to guide exploration toward data that reduces uncertainty in mod…
ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real
Youwei Yu, Junhong Xu, Lantao Liu
Model-free reinforcement learning has emerged as a powerful method for developing robust robot control policies capable of navigating through complex and unstructured environments.…
Minimalistic Autonomous Stack for High-Speed Time-Trial Racing
Mahmoud Ali, Hassan Jardali, Youwei Yu +2
Autonomous racing has seen significant advancements, driven by competitions such as the Indy Autonomous Challenge (IAC) and the Abu Dhabi Autonomous Racing League (A2RL). However,…