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Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
Operator learning has been increasingly adopted in scientific and engineering applications, many of which require calibrated uncertainty quantification.
Unsupervised Motion Retargeting for Human-Robot Imitation
This early-stage research work aims to improve online human-robot imitation by translating sequences of joint positions from the domain of human motions to a domain of motions achievable by a given robot, thus constrained by its embodiment.
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