Conference

Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction
In Annual Conference on Robot Learning (CoRL), 2026
We introduce Pro-HOI, a generalizable framework for robust humanoid loco-manipulation via perceptive root-guided control.
Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction
VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI Data for VLA Training
In Annual Conference on Robot Learning (CoRL), 2026
VISTA aligns UMI fisheye perception and physically validates trajectories to improve VLA training across simulation and real-world manipulation.
VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI Data for VLA Training
PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations
In Annual Conference on Robot Learning (CoRL), 2026
We introduce PRTS, a New Generation of Reinforcement Learning-Native Robotic Vision-Language-Action(VLA) foundation model.
PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations
Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation
In Annual Conference on Robot Learning (CoRL), 2026
Graph-reweighted behavior cloning with human interventions for precise robotic manipulation.
Graph-Reweighted Behavior Cloning with Human Interventions for Precise Robotic Manipulation