Abstract
As the utilization of robots in indoor environments increases, it has become common for humans and robots to co-exist in such environments. Most human-aware navigation algorithms only considered humans in the robot's field of view. However, in cases of L-shape corridors, there is a high possibility that human suddenly appears. To deal with this situation, we propose an improved corner detection algorithm and a novel waypoint planner, WPC. The proposed algorithm is validated through simulations using PedSim and Gazebo.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 287-291 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665472609 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 6th IEEE International Conference on Robotic Computing, IRC 2022 - Virtual, Online, Italy Duration: 5 Dec 2022 → 7 Dec 2022 |
Publication series
| Name | Proceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022 |
|---|
Conference
| Conference | 6th IEEE International Conference on Robotic Computing, IRC 2022 |
|---|---|
| Country/Territory | Italy |
| City | Virtual, Online |
| Period | 5/12/22 → 7/12/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Corner-Detection
- Corner-Turning
- Human-Aware Robot Navigation
- Human-Robot Interaction
Fingerprint
Dive into the research topics of 'Human-Aware Waypoint Planner for Mobile Robot in Indoor Environments'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver