Bram Vanderborght

CAN THE SOCIAL ROBOT PROBO HELP CHILDREN WITH AUTISM TO IDENTIFY SITUATION-BASED EMOTIONS? A SERIES OF SINGLE CASE EXPERIMENTS

Children with autism spectrum disorders have difficulties in identifying situation-based emotions, which is a fundamental ability for mind reading. Social robots received increased attention as assisting tools for improving the social and emotional skills of children with autism. This study investigates whether the social robot Probo can help children with autism spectrum disorders to enhance their performance in identifying situation-based emotions. Three participants (age between 5 and 6) diagnozed with autism spectrum disorders were included in a single case AB experimental design, with intersubjects replications. The results show that childrens performance improved with moderate to large effect sizes in identifying both sadness and happiness. Based on these results, we intend to perform more extensive investigations regarding the effectiveness of robot assisted therapy in improving social-emotional abilities for children with autism spectrum disorders.

A Motion System for Social and Animated Robots

This paper presents an innovative motion system that is used to control the motions and animations of a social robot. The social robot Probo is used to study Human-Robot Interactions (HRI), with a special focus on Robot Assisted Therapy (RAT). When used for therapy it is important that a social robot is able to create an “illusion of life” so as to become a believable character that can communicate with humans. The design of the motion system in this paper is based on insights from the animation industry. It combines operator-controlled animations with low-level autonomous reactions such as attention and emotional state. The motion system has a Combination Engine, which combines motion commands that are triggered by a human operator with motions that originate from different units of the cognitive control architecture of the robot. This results in an interactive robot that seems alive and has a certain degree of “likeability”. The Godspeed Questionnaire Series is used to evaluate the animacy and likeability of the robot in China, Romania and Belgium.

How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder

Abstract Robot-Assisted Therapy (RAT) has successfully been used to improve social skills in children with autism spectrum disorders (ASD) through remote control of the robot in so-called Wizard of Oz (WoZ) paradigms.However, there is a need to increase the autonomy of the robot both to lighten the burden on human therapists (who have to remain in control and, importantly, supervise the robot) and to provide a consistent therapeutic experience. This paper seeks to provide insight into increasing the autonomy level of social robots in therapy to move beyond WoZ. With the final aim of improved human-human social interaction for the children, this multidisciplinary research seeks to facilitate the use of social robots as tools in clinical situations by addressing the challenge of increasing robot autonomy.We introduce the clinical framework in which the developments are tested, alongside initial data obtained from patients in a first phase of the project using a WoZ set-up mimicking the targeted supervised-autonomy behaviour. We further describe the implemented system architecture capable of providing the robot with supervised autonomy.

Do-it-yourself design for social robots

One of the chief obstacles in achieving wider acceptance of robotics is that only experienced roboticists can develop robotics applications. If we want robots in our homes and offices, we need more tools and platforms that reduce the costs of prototyping robots them, in terms of both time and money. The open-source paradigm offers a potential solution to these key factors. However, creating open-source robotics hardware does not just mean making the design files available online. It is essential to design the hardware in such a way that it can be built and modified by non-expert users. In this article we summarize our experiences of four years of creating open-source robotics in academia that led to the social robot Ono and the Opsoro design toolkit for social robots. We detail our design approach, leveraging DIY-friendly techniques to create systems that, though complex, can be assembled and modified by novices. We describe four experiments, two focusing on the assembly of an open-source robot and two using our toolkit to create novel social robot embodiments. They show that the key elements to attract novices are the ability to build, hack and use a social robot platform at different levels of difficulty. We believe that the open-source approach holds much promise in robotics research, though this approach is not without its challenges. The main bottlenecks are: the lack of time for ancillary activities related to open-source, the difficulty of building communities around niche research topics and the challenge of consolidating open hardware approaches with traditional business models.One of the chief obstacles in achieving wider acceptance of robotics is that only experienced roboticists can develop robotics applications. If we want robots in our homes and offices, we need more tools and platforms that reduce the costs in time and money of prototyping robots. The open-source paradigm offers a potential solution to these key factors. However, creating open-source robotics hardware does not mean just making the design files available online. It is essential to design the hardware in such a way that it can be built and modified by nonexpert users.