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cs.RO2026
ROSER: Few-Shot Robotic Sequence Retrieval for Scalable Robot Learning
Zillur Rahman, Eddison Pham, Alejandro Daniel Noel +1
A critical bottleneck in robot learning is the scarcity of task-labeled, segmented training data, despite the abundance of large-scale robotic datasets recorded as long, continuous…
cs.RO2025
Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots
Haochen Su, Cristian Meo, Francesco Stella +3
Robotic systems are increasingly expected to operate in human-centered, unstructured environments where safety, adaptability, and generalization are essential. Vision-Language-Acti…