Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation
Overview
This research introduces the DAMI framework to improve generalization in robotic manipulation tasks. By combining meta-learning with a Visual-Motor Trajectory module and an Unpaired Unified Task block, the system captures complex spatio-temporal dynamics and fuses multimodal observations. The approach enables rapid adaptation to novel tasks through few-shot fine-tuning, outperforming state-of-the-art baselines in both simulated and real-world environments.
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- arXiv Robotics — research abstractsSignalDynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation
This research introduces the DAMI framework to improve generalization in robotic manipulation tasks. By combining meta-learning with a Visual-Motor Trajectory module and an Unpaired Unified Task block, the system captures complex spatio-temporal dynamics and fuses multimodal observations. The approach enables rapid adaptation to novel tasks through few-shot fine-tuning, outperforming state-of-the-art baselines in both simulated and real-world environments.
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