Name
Abstract | ||
|---|---|---|
The four-wheeled omnidirectional platform is great to use for an indoor mobile robot. It can increasingly move and change heading directions. However, the robot is easy to slip when it is moving. One or more wheels are sometimes not touching the ground. This paper approaches to solving these problems by computational simulation in locomotion. The mathematical models simulate the robot movement. The robot struggles to go to the target with randomly simulated slips and untouched ground circumstances. The robot can estimate the positions using the Kalman filter and readjust itself to the planned path. Consequently, this paper demonstrates the motion improvement and compares the results of decreasing errors. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.2991/jrnal.2018.4.4.4 | ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS |
Keywords | Field | DocType |
Omnidirectional wheel,Indoor mobile robot,Kalman filter,Motion improvement | Omnidirectional antenna,Computer vision,Computer science,Terrain,Artificial intelligence,Mobile robot | Journal |
Volume | Issue | ISSN |
4 | 4 | 2352-6386 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amornphun Phunopas | 1 | 0 | 1.01 |
| Shinichi Inoue | 2 | 0 | 0.34 |