Vision-language models (VLMs) enable open-vocabulary reasoning for robot manipulation, but their high inference latency limits responsiveness in dynamic scenes. Many scene changes, however, alter object geometry without invalidating task intent. We present DualManip, a dual-path framework that decouples infrequent sema...
Cheng-Xi Li, Yan Di, Ying-Yue Li et al.· 0 citations
Many real-world robotic applications require dynamically sensitive manipulation, where success depends not only on reaching a target state but on maintaining stable object dynamics throughout execution. We study the stable transport of liquid-filled containers, where a robot must move objects to target locations while...
Ying-Yue Li, Chenyangguang Zhang, Rui-Da Zhang et al.· IEEE Robotics and Automation...· 0 citations
Intermediate representations are key to bridging the modality gap between generalizable manipulation policies and large-scale pretrained vision-language models (VLMs). Among these, trajectory-based representations compactly represent motion-relevant cues, yet most existing approaches predict trajectories in 2D image sp...
Zi-Qin Huang, Ying-Yue Li, Chenyangguang Zhang et al.· 0 citations
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