Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation

no code implementations • 10 Oct 2018 • Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic

Our further contribution is a neural network architecture and training pipeline that use experience from grasping objects in simulation to learn grasp stability scores.

Bayesian Optimization

Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images

no code implementations • 8 Mar 2019 • Mia Kokic, Danica Kragic, Jeannette Bohg

The qualitative experiments show results of pose and shape estimation of objects held by a hand "in the wild".

Image-to-Image Translation Object +1

Learning Task-Oriented Grasping from Human Activity Datasets

no code implementations • 25 Oct 2019 • Mia Kokic, Danica Kragic, Jeannette Bohg

We develop a model that takes as input an RGB image and outputs a hand pose and configuration as well as an object pose and a shape.

Object