Paper Info
Title
Gesture Based Human Multi-Robot Interaction
Abstract
The emergence of robot applications for nontechnical users implies designing new ways of interaction between robotic platforms and users. The main goal of this work is the development of a gestural interface to interact with robots in a similar way as humans do, allowing the user to provide information of the task with non-verbal communication. The gesture recognition application has been implemented using the Microsoft's Kinect (TM) v2 sensor. Hence, a real-time algorithm based on skeletal features is described to deal with both, static gestures and dynamic ones, being the latter recognized using a weighted Dynamic Time Warping method. The gesture recognition application has been implemented in a multi-robot case. A NAO humanoid robot is in charge of interacting with the users and respond to the visual signals they produce. Moreover, a wheeled Wifibot robot carries both the sensor and the NAO robot, easing navigation when necessary. A broad set of user tests have been carried out demonstrating that the system is, indeed, a natural approach to human robot interaction, with a fast response and easy to use, showing high gesture recognition rates.
Year
Venue
Field
2015
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
Computer vision,Robot control,Social robot,Computer science,Personal robot,Gesture recognition,Artificial intelligence,Mobile robot navigation,Mobile robot,Humanoid robot,Ubiquitous robot
DocType
ISSN
Citations 
Conference
2161-4393
2
PageRank 
References 
Authors
0.43
14
3
Name
Order
Citations
PageRank
Gerard Canal1283.76
Cecilio Angulo243457.48
Sergio Escalera31415113.31