Publication Details
- Keywords:
- socially assistive robotics
- Socially-Aware Navigation (SAN)
Abstract
In this paper, we study if modeling can help discriminate actions which in turn can be used to select an appropriate behavior for a mobile robot. For human-human interaction, a significant social and communicative information can be derived from interpersonal distance between two or more people. If Human-Robot Interaction reflects this human-human interaction property, then interpersonal distance between a human and a robot contains similar social and communicative information. An effective robot's actions, including actions associated with interpersonal distance, must be suitable for a given social circumstance. Studying interpersonal distance between a robot and a human is very important for assistive robots. We use autonomously detected features to develop such an interpersonal model using Gaussian Mixture Model (GMM) and demonstrate that such a learned model can discriminate different human actions. The proposed approach can be used in a socially-aware planner to weight trajectories and select actions that are socially appropriate for a given social situation.
Author Details
Name: | Santosh Balajee Banisetty | |
email: | santoshbanisetty@nevada.unr.edu | |
Website: | http://www.santoshbanisetty.com/ | |
Status: | Active |
Name: | Meera Sebastian | |
email: | meerasebastian@nevada.unr.edu | |
Phone: | (443) 707-6361 | |
Status: | Active |
Name: | David Feil-Seifer | |
email: | dave@cse.unr.edu | |
Website: | http://cse.unr.edu/~dave | |
Phone: | (775) 784-6469 | |
Status: | Active |
BibTex Reference
title={Socially-Aware Navigation: Action Discrimination to Select Appropriate Behavior},
author={Santosh Balajee Banisetty and Meera Sebastian and David Feil-Seifer},
year={2016},
month={November},
address={Arlington, VA},
booktitle={2016 AAAI Fall Symposium Series: AI-HRI Artificial Intelligence for Human-Robot Interaction},
}
HTML Reference
Support
Designing Collaborator Robots for Highly-Dynamic Multi-Human, Multi-Robot Teams, Office of Naval Research (ONR) PI: Monica Nicolescu, co-PI: David Feil-Seifer, Amount: $656,511, April 1, 2016 - March 31, 2019
DURIP: Humanoid Platforms for Human-Robot Collaboration, Office of Naval Research (ONR) PI: Monica Nicolescu, co-PI: David Feil-Seifer, Mircea Nicolescu, Amount: $312,000, May 1, 2014 - June 30, 2015
Instructional Enhancement Grant: Robotics for Experimentation in the Classroom, University of Nevada, Reno Provost's Office PI: David Feil-Seifer, Amount: $5,000, July 1, 2014 - May 15, 2015