Abstract
Rapid advances in robot technology have been made in recent years. Inconnection with these advances, robots are expected, to be utilized, in a,variety of places and, environments. This study describes 1) a, method whichallows a, robot to measure the location of its destination in the real world,based, on an image obtained, from, a, single camera, and, 2) a, method ofnavigating a, robot to a, destination which is selected, by a, user on a,display showing the forward, robot view. Consideration is also given to cases inwhich there are obstacles between the robot and, the destination. Through theuse of reinforcement learning, which is considered, a, promising candidate amongautonomous control techniques, the roving robot tries to find the shortest wayto the destination based on information concerning the locations of obstaclesand, the destination. This study also describes an image-based method ofmeasuring a, selected, location, the results from, a simulation of path findingusing reinforcement learning, and the results from an experiment of navigationin a, real environment. Finally, a, summary of the main conclusions is provided.ICIC International
| Original language | English |
|---|---|
| Pages (from-to) | 885-892 |
| Number of pages | 8 |
| Journal | ICIC Express Letters |
| Volume | 4 |
| Issue number | 3 |
| Publication status | Published - Jun 2010 |
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Keywords
- Navigation
- Path finding
- Reinforcement learning
- Roving robot
ASJC Scopus subject areas
- Computer Science(all)
- Control and Systems Engineering
Cite this
Automatic path search for roving robot using reinforcement learning. / Miyata, Shigeharu; Yanou, Akira; Nakamura, Hitomi; Takehara, Shin.
In: ICIC Express Letters, Vol. 4, No. 3, 06.2010, p. 885-892.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automatic path search for roving robot using reinforcement learning
AU - Miyata, Shigeharu
AU - Yanou, Akira
AU - Nakamura, Hitomi
AU - Takehara, Shin
PY - 2010/6
Y1 - 2010/6
N2 - Rapid advances in robot technology have been made in recent years. Inconnection with these advances, robots are expected, to be utilized, in a,variety of places and, environments. This study describes 1) a, method whichallows a, robot to measure the location of its destination in the real world,based, on an image obtained, from, a, single camera, and, 2) a, method ofnavigating a, robot to a, destination which is selected, by a, user on a,display showing the forward, robot view. Consideration is also given to cases inwhich there are obstacles between the robot and, the destination. Through theuse of reinforcement learning, which is considered, a, promising candidate amongautonomous control techniques, the roving robot tries to find the shortest wayto the destination based on information concerning the locations of obstaclesand, the destination. This study also describes an image-based method ofmeasuring a, selected, location, the results from, a simulation of path findingusing reinforcement learning, and the results from an experiment of navigationin a, real environment. Finally, a, summary of the main conclusions is provided.ICIC International
AB - Rapid advances in robot technology have been made in recent years. Inconnection with these advances, robots are expected, to be utilized, in a,variety of places and, environments. This study describes 1) a, method whichallows a, robot to measure the location of its destination in the real world,based, on an image obtained, from, a, single camera, and, 2) a, method ofnavigating a, robot to a, destination which is selected, by a, user on a,display showing the forward, robot view. Consideration is also given to cases inwhich there are obstacles between the robot and, the destination. Through theuse of reinforcement learning, which is considered, a, promising candidate amongautonomous control techniques, the roving robot tries to find the shortest wayto the destination based on information concerning the locations of obstaclesand, the destination. This study also describes an image-based method ofmeasuring a, selected, location, the results from, a simulation of path findingusing reinforcement learning, and the results from an experiment of navigationin a, real environment. Finally, a, summary of the main conclusions is provided.ICIC International
KW - Navigation
KW - Path finding
KW - Reinforcement learning
KW - Roving robot
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M3 - Article
AN - SCOPUS:77953902842
VL - 4
SP - 885
EP - 892
JO - ICIC Express Letters
JF - ICIC Express Letters
SN - 1881-803X
IS - 3
ER -