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cs.AI2026
WAM-OPD: Joint Video-Action Supervision for World Action Model Post-Training with On-Policy Distillation
Liuhaichen Yang, Zhengyang Zhong, Zhuang Jiang +13
World Action Models (WAMs) generate both future video and robot actions, offering two connected outputs for post-training supervision. How can a pretrained WAM learn from a stronge…
cs.AI2026
SignVLA: Real-Time Sign Language-Guided Robotic Manipulation via Attention LSTM and Vision-Language-Action Models
Ningwei Bai, Xinyu Tan, Harry Gardner +6
Vision-Language-Action (VLA) models enable robots to execute manipulation tasks from natural-language instructions grounded in visual observations. However, existing VLA interfaces…