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cs.RO2025
Using Temperature Sampling to Effectively Train Robot Learning Policies on Imbalanced Datasets
Basavasagar Patil, Sydney Belt, Jayjun Lee +2
Increasingly large datasets of robot actions and sensory observations are being collected to train ever-larger neural networks. These datasets are collected based on tasks and whil…
cs.RO2025
ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
Yun Chang, Leonor Fermoselle, Duy Ta +3
While recent work in scene reconstruction and understanding has made strides in grounding natural language to physical 3D environments, it is still challenging to ground abstract,…