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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.RO2024
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning
Yinpei Dai, Jayjun Lee, Nima Fazeli +1
Developing robust and correctable visuomotor policies for robotic manipulation is challenging due to the lack of self-recovery mechanisms from failures and the limitations of simpl…