[I-RIM ML] [meetings] ICRA2024 Workshop "Supervised autonomy: how to shape human-robot interaction from the body to the brain"

[fanny.ficuciello]

Dear Colleagues,
We are pleased to announce the ICRA 2024 workshop "Supervised autonomy: 
how to shape human-robot interaction from the body to the brain". The 
workshop will be held on May 17th at the PACIFICO Convention Center in 
Yokohama, Japan.

https://sites.google.com/view/hri-workshop-icra2024/home

We encourage authors to consider presenting their work through either 
extended abstracts (2 pages) or live demonstrations.

All two-page abstracts must be submitted in PDF format and follow the 
ICRA double-column format. Authors of the accepted contributions will be 
invited to present their work during the poster and demo session.

The Best Poster Presentation will receive an invitation to submit an 
extended version of their work as a full paper for inclusion in the 
Frontiers in Robotics and AI special issue on "Supervised Autonomy: 
Shaping Human-Robot Interaction from the Body to the Brain".
We are delighted to share that the workshop will contribute to covering 
the full publication fee for the selected paper as an award.

Papers can be uploaded at the following link.

Submission site: 
https://mc.manuscriptcentral.com/ijrrhttps://www.frontiersin.org/journals/robotics-and-ai

Authors can express their interest in submitting a paper to the SI in 
the Frontiers in Robotics and AI special issue on "Supervised Autonomy: 
Shaping Human-Robot Interaction from the Body to the Brain"
by filling out the form at the following link:

https://docs.google.com/spreadsheets/d/1FXuKgz_leIZVtSl-yrrHZ4YbxzhFtj-o/edit?usp=sharing&ouid=108827947839026446647&rtpof=true&sd=true

------------------IMPORTANT DATES--------------
- Submission deadline: April 20, 2024
- Notification of acceptance: April 25, 2024
- Submission of final version: May 1, 2024
- Workshop: May 17, 2024, Yokohama

-------------------------------------------------------Motivation & 
Goal-----------------------------------------------------------
Safety–critical processes in unpredictable environments require human 
intervention to assist or execute tasks that autonomous robots are not 
yet capable of handling. In diverse environments, the increased levels 
of autonomy for robots demand human–machine interaction to be safer, 
more intuitive, comfortable, and robust. Supervised autonomy - the 
robot’s autonomy supervised by humans - bridges the gap between 
teleoperated robotics and full autonomy. By automating specific tasks 
while keeping the humans in the loop, supervised autonomy can enhance 
the safety and productivity of individuals including workers, users, and 
patients, while providing operators with the ability to intervene when 
necessary. Human-robot interaction, collaboration and role adaptation 
during human-robot cooperation are characterized by different aspects 
that go from the body to the brain of the robot facilitated through 
communication interfaces. The Supervised autonomy: how to shape 
human-robot interaction from the body to the brain workshop intends to 
investigate the influence of all those aspects on the realization of 
supervised autonomy in robots operating in different domains, such as 
driving, flying, assistive technologies, teleoperation, medical 
applications, logistics, manufacturing. How to shape human-robot 
"InterAction" is a question to be answered by focusing on the integrated 
“Phygital” aspects concerning sensors, design and materials, control and 
artificial intelligence.

------------------------------------ Some of the questions we will try 
to answer----------------------------------
● How design, materials and control interfaces can help in realizing 
effective human
supervision on robotic systems
● How human experience and lifelong learning can help to develop new 
paradigm
for supervised autonomy
● How vision and tactile information together with AI-based elaboration 
of the
information can be integrated into the learning process and in control 
strategies
● How neural control of movement between humans and robots can be 
realized and
integrated into supervised autonomous systems

---------------------------------------------The topics of 
interest--------------------------------------------
● Innovative materials for soft/rigid robots
● Hardware and software solutions for human-robot communication 
interface
● Learning visual representations for perception-action systems
● Vision and force integration for control of manipulation systems
● Reinforcement learning and adaptive control
● Interactive learning and lifelong learning
● Simulations for design and control
● Robotics applications across domains: driving, flying, assistive 
technologies, teleoperation,
medical applications, logistics, manufacturing

The organizers

Fanny Ficuciello, University of Naples
Pietro Falco, University of Padova
Letizia Gionfrida, King's College London
Daekyum Kim, Korea University
Massimiliano Simi, Medical MicroInstruments Inc. (MMI)
Antonio Bicchi, Istituto Italiano di Tecnologia