Information maximizing curriculum: A curriculum-based approach for learning versatile skills
Imitation learning uses data for training policies to solve complex tasks. However, when the
training data is collected from human demonstrators, it often leadsto multimodal distributions …
training data is collected from human demonstrators, it often leadsto multimodal distributions …
ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning
Robot Imitation Learning (IL) is a crucial technique in robot learning, where agents learn by
mimicking human demonstrations. However, IL encounters scalability challenges stemming …
mimicking human demonstrations. However, IL encounters scalability challenges stemming …
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
Robot Imitation Learning (IL) is a widely used method for training robots to perform
manipulation tasks that involve mimicking human demonstrations to acquire skills. However …
manipulation tasks that involve mimicking human demonstrations to acquire skills. However …
Variational Distillation of Diffusion Policies into Mixture of Experts
This work introduces Variational Diffusion Distillation (VDD), a novel method that distills
denoising diffusion policies into Mixtures of Experts (MoE) through variational inference …
denoising diffusion policies into Mixtures of Experts (MoE) through variational inference …
Self-learning and autonomously adapting manufacturing equipment for the circular factory
The integration of both linear and circular processes in one production system poses
significant challenges. In particular, the reprocessing of end-of-life products is associated …
significant challenges. In particular, the reprocessing of end-of-life products is associated …