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cs.RO2026
Skills in Weights, Memory in Code: Hybrid Learning for Memory-Dependent Robot Manipulation
Yunhao Zhao, Zhenyang Ni, Haoyang Chen +2
Modern vision-language-action (VLA) policies have acquired broad manipulation skills, but typically generate each action chunk from the current observation or a short fixed-length…
cs.RO2026
SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
Nadun Ranawaka, Josiah Wong, Wei-Lin Pai +15
Training and evaluating robot policies in the real world is costly and difficult to scale. We introduce SimFoundry, a modular and automated system for zero-shot real-to-sim scene c…