Multisensory Continual Learning: Adapting Pretrained Visuomo
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force. This research addresses the challenge of adapting pretrained robot policies to new sensory modalities like force and tactile sensing. The proposed MuSe method integrates limited multisensory data into vision-only policie…
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- arXiv Robotics — research abstractsMultisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force
This research addresses the challenge of adapting pretrained robot policies to new sensory modalities like force and tactile sensing. The proposed MuSe method integrates limited multisensory data into vision-only policies through multi-stage fusion, future prediction, and experience replay. Evaluated on real-world tasks, MuSe shows strong performance in contact-rich scenarios while preserving or improving original task performance.
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