Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.
| This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.nl. |
|
Socially Acceptable Approach to Humans by a Mobile Robot
| Type of publication: | Inproceedings |
| Citation: | mergarsal_APPIS_2019_appro |
| Booktitle: | International Conference on Applications of Intelligent Systems (APPIS) |
| Year: | 2019 |
| Location: | Las Palmas de Gran Canaria (Spain) |
| DOI: | 10.1145/3309772.3309793 |
| Abstract: | In this paper we propose a solution to endow a mobile robot with the ability to approach humans in a safe and ocially acceptable way. Our proposal focuses on real world indoor environments where the usual presence of ultiple humans and obstacles notably rise the complexity of the approach action. We first deal with the problem of accurately estimating the 3D poses of all humans in the work space (positions and orientations), to then focus on the estimation of the most appropriate navigation goal from which the robot should start the interaction with the user. For the latter, we define a cost function that, accounting for multiple proxemic parameters and complying with the restrictions inherent of a robot navigating in a human environment, enables ascertaining an optimal solution. Different experiments are presented to demonstrate the feasibility of our proposal to work under real world conditions. |
| Userfields: | img_url=,rank_indexname=,rank_pos_in_category=,rank_num_in_category=,rank_cat_name=,impact_factor= |
| Keywords: | Computer Vision, Human Pose Estimation, Human-Robot Interaction, mobile robot, OpenPose, People Approach, People Detector, Proxemic, ROS |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
|
Topics
|
|
|
|
|
