RoboParrot: A robotic platform for human robot interaction, case of autistic children

Author(s):  
Pegah Soleiman ◽  
Sohail Salehi ◽  
Maryam Mahmoudi ◽  
Morteza Ghavami ◽  
Hadi Moradi ◽  
...  
Author(s):  
Sergio D. Sierra ◽  
Juan F. Molina ◽  
Daniel A. Gomez ◽  
Marcela C. Munera ◽  
Carlos A. Cifuentes

Robotica ◽  
2014 ◽  
Vol 33 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Alberto Poncela ◽  
Leticia Gallardo-Estrella

SUMMARYVerbal communication is the most natural way of human–robot interaction. Such an interaction is usually achieved by means of a human-robot interface (HRI). In this paper, a HRI is presented to teleoperate a robotic platform via the user's voice. Hence, a speech recognition system is necessary. In this work, a user-dependent acoustic model for Spanish speakers has been developed to teleoperate a robot with a set of commands. Experimental results have been successful, both in terms of a high recognition rate and the navigation of the robot under the control of the user's voice.


2020 ◽  
Author(s):  
Bishakha Chaudhury ◽  
Ruud Hortensius ◽  
Martin Hoffmann ◽  
Emily S. Cross

As research examining human-robot interaction moves from the laboratory to the real world, studies seeking to examine how people interact with robots face the question of which robotic platform to employ to collect data in situ. To facilitate the study of a broad range of individuals, from children to clinical populations, across diverse environments, from homes to schools, a robust, reproducible, low-cost and easy-to-use robotic platform is needed. Here, we describe how a commercially available off-the-shelf robot, Cozmo, can be used to study embodied human-robot interactions in a wide variety of settings, including the user’s home. In this Tutorial, we describe the steps required to use this affordable and flexible platform for longitudinal human-robot interaction studies. First, we outline the technical specifications and requirements of this platform and accessories. We present findings from validation work we performed to map the behavioural repertoire of the Cozmo robot and introduce an accompanying interactive emotion classification tool to use with this robot. We then show how log files containing detailed data on the human-robot interaction can be collected and extracted. Finally, we detail the types of information that can be retrieved from these data. This low-cost robotic platform will provide the field with a variety of valuable new possibilities to study human-robot interactions within and beyond the research laboratory, which are user-driven and unconstrained in both time and place.


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