activity
20172022
most citedParameter Space Noise for Exploration

368 citations · 378 across the 8 of their papers we have counts for

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11 papers · 1 filter

cs.RO2022

Riemannian geometry as a unifying theory for robot motion learning and control

Noémie Jaquier, Tamim Asfour

Riemannian geometry is a mathematical field which has been the cornerstone of revolutionary scientific discoveries such as the theory of general relativity. Despite early uses in r…

cs.RO2022

SpeedFolding: Learning Efficient Bimanual Folding of Garments

Yahav Avigal, Lars Berscheid, Tamim Asfour +2

Folding garments reliably and efficiently is a long standing challenge in robotic manipulation due to the complex dynamics and high dimensional configuration space of garments. An…

cs.RO20212 cited

Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects

Zehang Weng, Fabian Paus, Anastasiia Varava +3

Capturing scene dynamics and predicting the future scene state is challenging but essential for robotic manipulation tasks, especially when the scene contains both rigid and deform…

cs.RO2021

Learning to Shift Attention for Motion Generation

You Zhou, Jianfeng Gao, Tamim Asfour

One challenge of motion generation using robot learning from demonstration techniques is that human demonstrations follow a distribution with multiple modes for one task query. Pre…

cs.RO2020

Uncertainty-aware Contact-safe Model-based Reinforcement Learning

Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui +2

This letter presents contact-safe Model-based Reinforcement Learning (MBRL) for robot applications that achieves contact-safe behaviors in the learning process. In typical MBRL, we…

cs.RO2020

A Soft Humanoid Hand with In-Finger Visual Perception

Felix Hundhausen, Julia Starke, Tamim Asfour

We present a novel underactued humanoid five finger soft hand, the KIT \softhand, which is equipped with cameras in the fingertips and integrates a high performance embedded system…