Elastic Networks in Reshaping Human Intentions by Proactive Social Robot Moves


This paper focuses on reshaping a previously detected human intention into a desired one, using contextual motions of mobile robots, which are in our applications, autonomous mobile 2-steps stairs and a chair. Our system first estimates the current intention based on human heading and trajectory depicted as orientation and location. Our previous reshaping applications have shown that the current human intention has to be deviated towards the new desired one in phases. In our novel approach, Elastic network generates way points of trajectories each of which acts as transient trajectories directed towards the desired intention's location. Our methodology aims at generating an “intention trajectory” towards the final goal. The initial way points possess destabilizing effects on the obstinance of the person intention making the “robot gain the curiosity and the trust of the person”. Each way point generated by the elastic network is executed by moves of an adequate robot (here mobile 2-steps or chair) in adequate directions (towards coffee table, PC, TV, library). After each robot moves, the resulting human intention is estimated and compared to the desired goal in the intention space. Intention trajectories are searched in two modes: the “confident mode” and the “suspicious mode” which are defining human body-mood detected relying on proxemics. This paper analyzes our novel approach of planning trajectories via elastic networks based on these two modes.

author={O. C. Görür and A. M. Erkmen}, 
booktitle={The 23rd IEEE International Symposium on Robot and Human Interactive Communication}, 
title={Elastic networks in reshaping human intentions by proactive social robot moves}, 
keywords={human-robot interaction;mobile robots;motion control;trajectory control;autonomous mobile 2-steps stairs;chair;confident mode;contextual motion;elastic network;human intention;intention trajectory;mobile robot;proactive social robot;proxemics;suspicious mode;transient trajectory;Dynamics;Estimation;Hidden Markov models;Mood;Robot kinematics;Trajectory}, 
Orhan Can Görür, Aydan M. Erkmen
The 23rd IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2014