It is not a news anymore that robots are effective intervention tools
for many children with autism.
What we may not know is how well the end-users are coping with this
advanced piece of technology.
This workshop aims to bridge that knowledge gap. Robotics researchers
(both from industry and academia)
and autism practitioners who use robots as intervention tools will
come together to foster a discussion
on effectively developing robot hardware, novel algorithms,
curriculum, and progress measurement tools
for the practitioners to meet the ultimate goal of advancing the
social and learning skills of autistic
children, helping them secure a confident and comfortable position in
life as a child and an adult.
Therefore, the workshop has two themes:
1. Novel Hardware and Software to help robot-mediated intervention:
Discussing the need of
novel robot hardware and software (algorithm, visual programming
language, interface) to enable
seamless integration of robots in existing clinical practice in
autism. The workshop will also
discuss about the possibility of initiating industry-led open
challenges to solve fundamental
problems in robot design (hardware/software). The specifics of such
challenges could be defined
by autism practitioners who encounter issues while using the existing
2. Best practice in robot-mediated intervention: Creating a common
cause for identifying
ever better fact-based tools, strategies, and methodologies to
intervention as an effective EBP in autism. The workshop will discuss
on the possibility
of establishing a framework for developing a certification standard
for RMBI. Such an
effort needs to be backed by clinical researchers on autism,
practitioners who deliver
RMBI and robotics companies that provides curriculum along with the robot.
Submissions are welcome in any of the two themes of the workshop:
1. New ideas on HRI algorithms, robot platforms, interface, visual
that can lower the barrier of using robots in real-world settings.
2. Results and lessons learned from user studies with robots and
individuals with autism
spectrum disorders. Articles that suggest evidence-based guidelines
for designing robot-mediated
interventions are specially encouraged.