1 citations · 1 across the 4 of their papers we have counts for
4 papers
Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
Jianhua Han, Meng Tian, Jiangtong Zhu +16
Autonomous driving heavily relies on accurate and robust spatial perception. Many failures arise from inaccuracies and instability, especially in long-tail scenarios and complex in…
Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
Joao Pedro Araujo, Yanjie Ze, Pei Xu +2
Humanoid motion tracking policies are central to building teleoperation pipelines and hierarchical controllers, yet they face a fundamental challenge: the embodiment gap between hu…
Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching
Sirui Chen, Yufei Ye, Zi-Ang Cao +3
We propose Hand-Eye Autonomous Delivery (HEAD), a framework that learns navigation, locomotion, and reaching skills for humanoids, directly from human motion and vision perception…
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and Efficiency
Binwen Liu, Peiyu Xu, Quan Yuan +1
We investigate in-context learning (ICL) through a meticulous experimental framework that systematically varies task complexity and model architecture. Extending beyond the linear…