Daisuke Tanaka — accepted AI-conference papers

2021

Disruption-Resistant Deformable Object Manipulation on Basis of Online Shape Estimation and Prediction-Driven Trajectory Correction

Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki

RA-L 2021

We consider the problem of deformable object manipulation with variable goal states and mid-manipulation disruptions. We propose an approach that integrates online shape estimation, prediction of shape transitions, and mid-manipulation trajectory correction. All functionalities are implemented using

Cited by 10 Source ↗Scholar ↗

2018

EMD Net: An Encode-Manipulate-Decode Network for Cloth Manipulation

Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki

RA-L 2018

In this letter, we present a motion planning method for automatic operation of cloth products. The problem setting we adopt here is that the current shape state of a cloth product and the shape state of the goal are given. It is necessary to decide where and what kind of manipulation is to be applie

Cited by 60 Source ↗Scholar ↗