Path Planning Method for Six-DOF Vertical Articulated Robot Aimed at Shortening the Cycle Time of Picking Task

This paper addresses a path planning method aimed at shortening calculation time. The proposed method takes advantage of the absence of obstacles in the space occupied by the robot when the robot and obstacles do not collide. In order to shortening the calculation time, the proposed method repeatedly searches in a straight line toward the target position and escapes in the direction of the mentioned space. Therefore, when there are no obstacles, a straight path from the start position to the target position is generated in the task space. We demonstrate examples of path planning tasks and verify the validity of the proposed method by comparing the calculation time with conventional path planning methods.

Authors

Institutions

Publication Details

Journal
Journal of the Robotics Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.7210/jrsj.43.198
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Path Planning Method for Six-DOF Vertical Articulated Robot Aimed at Shortening the Cycle Time of Picking Task

Takuya Shitaka, Hiroaki Kagaya, Tetsuya Kubota, Koji Masaoka
Journal of the Robotics Society of Japan
Advanced Manufacturing and Logistics Optimization
article

Path Planning Method for Six-DOF Vertical Articulated Robot Aimed at Shortening the Cycle Time of Picking Task

Takuya Shitaka, Hiroaki Kagaya, Tetsuya Kubota, Koji Masaoka
article en

Abstract

This paper addresses a path planning method aimed at shortening calculation time. The proposed method takes advantage of the absence of obstacles in the space occupied by the robot when the robot and obstacles do not collide. In order to shortening the calculation time, the proposed method repeatedly searches in a straight line toward the target position and escapes in the direction of the mentioned space. Therefore, when there are no obstacles, a straight path from the start position to the target position is generated in the task space. We demonstrate examples of path planning tasks and verify the validity of the proposed method by comparing the calculation time with conventional path planning methods.

Journal of the Robotics Society of JapanVol. 43(2)
Kawasaki Heavy Industries (Japan) (JP), Kobe University (JP)
Sustainable cities and communities
Openalex Percentile: Top 93%
Advanced Manufacturing and Logistics Optimization
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.

Path Planning Method for Six-DOF Vertical Articulated Robot Aimed at Shortening the Cycle Time of Picking Task — Takuya Shitaka, Hiroaki Kagaya, et al. · Journal of the Robotics Society of Japan (2025) | TGRS Research Map | TGRS