[robotics-worldwide] [meetings][CfP] ICRA workshop on "Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding"

Nikolay Atanasov natanasov at eng.ucsd.edu
Sat Mar 17 16:54:35 PDT 2018

Call for Papers - ICRA 2018 Workshop:

*Perception, Inference, and Learning for Joint Semantic, Geometric, and
Physical Understanding*

International Conference on Robotics and Automation - May 21, 2018, Brisbane

Website: multimodalrobotperception.mit.edu

Submission Link: https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dicramrp18&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=szIHYachkz-X13Wj-3LVUu2u9WWCU13gWKx2_gqY3w0&s=xVBze49-Cy22sFQifVmfzEpgiw6PtzsLTJ2KsNRsfLo&e=

Submission Deadline: April 6th, 2018



The goal of this workshop is to bring together researchers from robotics,
computer vision, machine learning, and neuroscience to examine the
challenges and opportunities emerging from the design of *environment
representations and perception algorithms* that unify semantics, geometry,
and physics. This goal is motivated by two fundamental observations. First,
the development of advanced perception and world understanding is a key
requirement for robot autonomy in complex, unstructured environments, and
an enabling technology for robot use in transportation, agriculture,
mining, construction, security, surveillance, and environmental monitoring.
Second, despite the unprecedented progress over the past two decades, there
is still a large gap between robot and human perception (e.g.,
expressiveness of representations, robustness, latency). *The workshop aims
to bring forward the latest breakthroughs and cutting-edge research on
multimodal representations, as well as novel perception, inference, and
learning algorithms that can generate such representations.*

   - The workshop will include *keynote presentations* from established
   researchers in robotics, machine learning, computer vision, human and
   animal perception.
   - There will be two *panel discussions* and two *poster sessions*
   contributed papers throughout the day.
   - There will be a demo session including exciting live demos (best demo
   takes home a monetary prize - see below).

The workshop is endorsed by the IEEE RAS Technical Committee for Computer &
Robot Vision.



To encourage rigorous innovative submissions, this year we plan to award a
monetary prize for the best paper and the best demo presented during the
workshop. Quality and impact of the submissions will be evaluated by the
program committee. More details about the award will be given shortly.



Participants are invited to submit a *full paper* (following ICRA
formatting guidelines) or an *extended abstract *(up to 2 pages) related to
key challenges in unified geometric, semantic, topological, and physical
representations, and associated perception, inference, and learning
algorithms. Topics of interest include but are not limited to:

 - novel representations that combine geometry, semantics, and physics, and
allow reasoning over spatial, semantic, and temporal aspects

 - contextual inference techniques that produce maximum likelihood
estimates over hybrid multi-modal representations

 - learning techniques that produce cognitive representations directly from
complex sensory inputs

 - approaches that combine learning-based techniques with geometric
estimation methods

 - position papers and unconventional ideas on how to reach human-level
performance across the broad spectrum of perceptual problems arising in

Contributed papers will be reviewed by the organizers and a program
committee of invited reviewers. Accepted papers will be published on the
workshop website and will be featured in spotlight presentations and poster
sessions. We strongly encourage the preparation of live demos to accompany
the papers. We plan to select the best submissions and invite the authors
of these papers to contribute to a special issue on the IEEE Transactions
on Robotics, related to the topic of the workshop.

Submission link: https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dicramrp18&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=szIHYachkz-X13Wj-3LVUu2u9WWCU13gWKx2_gqY3w0&s=xVBze49-Cy22sFQifVmfzEpgiw6PtzsLTJ2KsNRsfLo&e=



- Submission Deadline: April 6, 2018

- Notification of Acceptance: April 30, 2018

- Workshop Date: May 21, 2018



We plan to have a broad participation from the robotics community through
the MultimodalRobotPerception
<https://urldefense.proofpoint.com/v2/url?u=https-3A__plus.google.com_communities_102832228492942322585&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=szIHYachkz-X13Wj-3LVUu2u9WWCU13gWKx2_gqY3w0&s=QVktNxNKHh5S0m2rggSxY7luA4YZrUWnJakteD79iyY&e=> Google
Community. Feel free to post thought-provoking questions and ideas related
to joint metric-semantic-physical perception. The posts will be moderated
by the organizers and addressed by the invited speakers during the workshop.



- Nikolay Atanasov, University of California, San Diego

- Luca Carlone, Massachusetts Institute of Technology



- Jana Kosecka, George Mason University

- Dieter Fox, University of Washington

- Ian Reid, University of Adelaide

- Jitendra Malik, University of California, Berkeley

- Srini Srinivasan, Queensland Brain Institute

- Michael Milford, Queensland University of Technology

- Torsten Sattler, ETH Zurich



Please send any questions to Nikolay Atanasov (natanasov at ucsd.edu) or Luca
Carlone (lcarlone at mit.edu). Please include "ICRA 2018 Workshop Submission"
in the subject of the email.

*Nikolay A. Atanasov*
Assistant Professor
Electrical and Computer Engineering

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