Unsupervised Interpretable Human Intent Discovery in Teleoperation via Bayesian Nonparametric Learning and Multi-Modal LLMs
Human intent recognition is crucial for effective robotic teleoperation, yet existing methods rely on a predefined set of intentions, a requirement that is manually intractable in complex open-world scenarios. We propose an unsupervised framework that integrates Bayesian nonparametric learning with multi-modal Large La...