5 papers
TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control
Wei-Jin Huang, Yuan-Ming Li, Kun-Yu Lin +8
Recent text-to-motion models have improved motion quality and instruction following, yet many-step denoising and large model components make deployment slow and memory-intensive. W…
TrapVLA: Trapping Vision-Language-Action Models in Configured Failure Modes
Jun-Hui Liu, Kun-Yu Lin, Yi-Lin Wei +9
This work introduces Configured Failure Trapping, a novel backdoor attack task against Vision-Language-Action (VLA) models, which aims to activate attacks through stealthy textual…
Humanoid Whole-Body Manipulation via Active Spatial Brain and Generalizable Action Cerebellum
Zhizhao Liang, Yi-Lin Wei, Xuhang Chen +6
In this paper, we explore spatial-aware humanoid whole-body manipulation task. Compared with tabletop settings, this task poses two key challenges: 1) Spatial understanding is chal…
From Watch to Imagine: Steering Long-horizon Manipulation via Human Demonstration and Future Envisionment
Ke Ye, Jiaming Zhou, Yuanfeng Qiu +4
Generalizing to long-horizon manipulation tasks in a zero-shot setting remains a central challenge in robotics. Current multimodal foundation based approaches, despite their capabi…
EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
Jiayi Liu, Jiaming Zhou, Ke Ye +3
Reliable trajectory prediction from an ego-centric perspective is crucial for robotic navigation in human-centric environments. However, existing methods typically assume noiseless…