[robotics-worldwide] [meetings] *Extended Deadline* - 2nd Call for Papers ICRA 2020 Workshop - Robot Teammates Operating in Dynamic, Unstructured Environments

Carlos Nieto-Granda carlos.nieto at gmail.com
Tue Mar 31 13:03:11 PDT 2020


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ICRA 2020 Workshop
Robot Teammates Operating in Dynamic, Unstructured Environments
Full day - Paris, France
Website: https://urldefense.com/v3/__http://rtdune.com__;!!LIr3w8kk_Xxm!66awzwfRREunFQyDfikJkoJ36qzIl8XBSjisJapwnbYweBOS0mwdRoisvTaQeYdR5zSBt7I7$ 
Contact: RT.DUNE at gmail.com
===============================================================

COVID-19 UPDATE

*It has been announced that ICRA 2020 <https://urldefense.com/v3/__http://icra2020.org/__;!!LIr3w8kk_Xxm!66awzwfRREunFQyDfikJkoJ36qzIl8XBSjisJapwnbYweBOS0mwdRoisvTaQeYdR55fiFX8Y$ > will be
online/virtual or postponed until Q4. The RT-DUNE workshop organizers are
awaiting information from the conference chairs as to the the state of the
conference. We are extending the workshop deadline  and we will update the
workshop website with more information as soon as it becomes available.*


*** Overview ***


Human interaction is fundamental to robotics but is difficult to actually
test in a way that supports development and design. Traditional behavioral
studies can help to quantify the performance of a complete system but often
fail to adequately capture the multi-part, contextual interactions required
for assessing complex tasks. Operational datasets provide a static snapshot
of the interaction but cannot tell the story of the reactivity at the heart
of any interaction. There are many open questions about what the future of
testing and iterative design looks like for robots that need to team with
humans. For instance, large-scale experiments and operations are generating
tremendous amounts of data about interactive systems, but does this data
actually support the creation of these complex, reactive, and dynamic
interactions or does it merely give us an opaque measure of success and
failure? Will robotics progress be limited by how quickly we can design and
get approval for nuanced human studies?

Answers to these questions lie somewhere in the intersection of traditional
behavioral studies and data-driven modeling, matched against the available
problems and experiment opportunities. This workshop will bring experts in
human-robot interaction and learning together with practitioners with
operationally-focused experiments and datasets to address this gap and
discuss how data and experiments could enable the design and verification
of systems that rely on human-robot interaction. The explicit goal is to
develop a deeper understanding of what the robotics community can actually
do with operational data and how data might inform not only the tuning but
also the design of complex, interactive systems.

*** Submissions ***

We invite interested researchers to submit 1-2 pages extended abstract of
work relevant to the topic of human-robot teaming at and beyond human
operational speeds in dynamic, unstructured environments. The accepted
abstracts will be posted on the workshop website and will not appear in the
official IEEE proceedings. The reviewing is single blind and will be
carried out by the workshop organizers. The accepted papers will have the
opportunity to present their work/ideas in a poster session, selected
papers will be invited to give a 15-minute oral presentation, and best
poster award will be presented.

Please submit your abstract to the workshop official email address
*RT.DUNE at gmail.com
<RT.DUNE at gmail.com>*


*** Topics ***

Topics of interest include but are not limited to:

   - Perception at rapid operational tempo
   - Inferring human intent
   - Human-robot teaming
   - Learning from demonstration
   - Cognitive architectures for control
   - Hybrid metric-symbolic planning
   - Natural language understanding
   - Common-sense reasoning
   - Activity and gesture recognition
   - Neuro-inspired architectures for control
   - Inverse reinforcement learning
   - Semantic perception
   - Robust field robotics
   - Online modeling for perception
   - Long-term autonomy
   - Resilient adaptation to change
   - Operational datasets
   - Design and verification of systems



*** Organizing Committee ***



Carlos Nieto-Granda, U.S. Army Research Laboratory

Henrik Christensen, University of California San Diego

Holly Yanco, University of Massachusetts Lowell

Julie Shah, Massachusetts Institute of Technology

Nicholas Roy, Massachusetts Institute of Technology

Ethan Stump, U.S. Army Research Laboratory

Christopher Reardon, U.S. Army Research Laboratory

David Baran, U.S. Army Research Laboratory

*** More information ***

Check the workshop website, https://urldefense.com/v3/__http://rtdune.com__;!!LIr3w8kk_Xxm!66awzwfRREunFQyDfikJkoJ36qzIl8XBSjisJapwnbYweBOS0mwdRoisvTaQeYdR5zSBt7I7$ ,
for updates, or contact the organizers at RT.DUNE at gmail.com with any
questions.





____________________________________________________________
Carlos Nieto-Granda
U.S. Army Combat Capabilities Development Command
Army Research Laboratory (ARL)
2800 Powder Mill Rd,
Adelphi, MD 20783
cnietoarl at gmail.com


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