activity
20132026
most citedData-Driven Grasp Synthesis - A Survey

881 citations · 1.6k across the 66 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

cs.RO2019★ 11 cited

Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on Planar Nonprehensile Sorting

Haoran Song, Joshua A. Haustein, Weihao Yuan +4

In this work, we address a planar non-prehensile sorting task. Here, a robot needs to push many densely packed objects belonging to different classes into a configuration where the…

cs.LG2019

Imitating by generating: deep generative models for imitation of interactive tasks

Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag +2

To coordinate actions with an interaction partner requires a constant exchange of sensorimotor signals. Humans acquire these skills in infancy and early childhood mostly by imitati…

cs.RO2019

Learning Task-Oriented Grasping from Human Activity Datasets

Mia Kokic, Danica Kragic, Jeannette Bohg

We propose to leverage a real-world, human activity RGB dataset to teach a robot Task-Oriented Grasping (TOG). We develop a model that takes as input an RGB image and outputs a han…

cs.RO2019★ 15 cited

Data-efficient Model Learning and Prediction for Contact-rich Manipulation Tasks

Shahbaz Abdul Khader, Hang Yin, Pietro Falco +1

In this letter, we investigate learning forward dynamics models and multi-step prediction of state variables (long-term prediction) for contact-rich manipulation. The problems are…

cs.RO2019★ 2 cited

Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction

Yuan Gao, Elena Sibirtseva, Ginevra Castellano +1

In socially assistive robotics, an important research area is the development of adaptation techniques and their effect on human-robot interaction. We present a meta-learning based…

cs.RO2019★ 11 cited

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression

Rika Antonova, Akshara Rai, Tianyu Li +1

Data-efficiency is crucial for autonomous robots to adapt to new tasks and environments. In this work we focus on robotics problems with a budget of only 10-20 trials. This is a ve…