Robot Command Upgrade by Integration of Position and Force Information from Multiple Motion Reproduction Results

Motion reproduction is a motion generation method in robotics characterized by the small amount of required data and its adaptability to environmental variations. However, completing the task is difficult when the environmental position variation is significant. Therefore, the proposed method generates motion data that is adaptive to environmental fluctuations by performing motion reproduction, with data integrating the position and velocity responses when motion reproduction is performed and the original force response. In simulations, it successfully made contact with the environment even when the distance to the environment was varied. In other words, the proposed method can create motions such that the task succeeded using the failed reproduction data.

Authors

Institutions

Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905096
Citations
1
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robot Command Upgrade by Integration of Position and Force Information from Multiple Motion Reproduction Results

Takahiro Nozaki, Kazuki Yane
1 citations
Robot Manipulation and Learning
0.33
article

Robot Command Upgrade by Integration of Position and Force Information from Multiple Motion Reproduction Results

Takahiro Nozaki, Kazuki Yane
article en
1 citations

Abstract

Motion reproduction is a motion generation method in robotics characterized by the small amount of required data and its adaptability to environmental variations. However, completing the task is difficult when the environmental position variation is significant. Therefore, the proposed method generates motion data that is adaptive to environmental fluctuations by performing motion reproduction, with data integrating the position and velocity responses when motion reproduction is performed and the original force response. In simulations, it successfully made contact with the environment even when the distance to the environment was varied. In other words, the proposed method can create motions such that the task succeeded using the failed reproduction data.

Keio University (JP)
Openalex Percentile: Top 36%
Robot Manipulation and Learning
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.