Anji Ma
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Data-Driven Framework for Dimensional Quality Control in Automotive Assembly: Integration of PCA-BP Neural Network with Traceable Deviation Source Identification Open
The intelligent transformation in the manufacturing industry poses challenges to traditional quality control methods, particularly in handling redundant data and ensuring model interpretability within high-dimensional, multivariate assembl…
View article: Learning high-level robotic manipulation actions with visual predictive model
Learning high-level robotic manipulation actions with visual predictive model Open
Learning visual predictive models has great potential for real-world robot manipulations. Visual predictive models serve as a model of real-world dynamics to comprehend the interactions between the robot and objects. However, prior works i…
Data-efficient learning of object-centric grasp preferences Open
Grasping made impressive progress during the last few years thanks to deep\nlearning. However, there are many objects for which it is not possible to\nchoose a grasp by only looking at an RGB-D image, might it be for physical\nreasons (e.g…
Data-efficient learning of object-centric grasp preferences Open
Grasping made impressive progress during the last few years thanks to deep learning. However, there are many objects for which it is not possible to choose a grasp by only looking at an RGB-D image, might it be for physical reasons (e.g., …
VP-GO: a "light" action-conditioned visual prediction model Open
Visual prediction models are a promising solution for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally greedy, which limits reproducibility; although some consider st…