881 citations · 1.6k across the 66 of their papers we have counts for
10 papers · 1 filter
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Rika Antonova, Mia Kokic, Johannes A. Stork +1
We develop an approach that benefits from large simulated datasets and takes full advantage of the limited online data that is most relevant. We propose a variant of Bayesian optim…
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling
Judith Bütepage, Danica Kragic
Successful Human-Robot collaboration requires a predictive model of human behavior. The robot needs to be able to recognize current goals and actions and to predict future activiti…
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
Isac Arnekvist, Danica Kragic, Johannes A. Stork
Reinforcement Learning methods are capable of solving complex problems, but resulting policies might perform poorly in environments that are even slightly different. In robotics es…
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation
Weihao Yuan, Kaiyu Hang, Haoran Song +3
Moving a human body or a large and bulky object can require the strength of whole arm manipulation (WAM). This type of manipulation places the load on the robot's arms and relies o…
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling
Judith Bütepage, Hedvig Kjellström, Danica Kragic
Human behavior is a continuous stochastic spatio-temporal process which is governed by semantic actions and affordances as well as latent factors. Therefore, video-based human acti…
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning
Weihao Yuan, Johannes A. Stork, Danica Kragic +2
Rearranging objects on a tabletop surface by means of nonprehensile manipulation is a task which requires skillful interaction with the physical world. Usually, this is achieved by…