[AllUsers-ISR] [Call for papers] - ECMR2023, Coimbra: Workshop on Robotic Perception and Situation Awareness

[Cristiano Premebida]

We are happy to announce the International Workshop on* Robotic perception
and Situation Awareness (RoSA)* co-located @ECMR2023. We invite
contributions (extended abstracts/short papers or regular papers).

****** RoSA 2023 (@ 11th ECMR) ***********
WS on Robotic perception and Situation Awareness
Theme: Robotic Perception for Real-world Applications
Webpage: https://sites.google.com/view/rosa-ecmr23
Where: *Coimbra, Portugal*.
********************************************

IMPORTANT DATES
- Paper Submission: *June 30, 2023*
- Notification of Acceptance: July 30, 2023
- Camera Ready Submission: Aug. 27, 2023
- Workshop Date: Sep. 4, 2023, co-located with ECMR.

Aim & Scope

The aim of the RoSA Workshop, as part of the ECMR 2023 conference, is to
bring together researchers, professionals, policy makers, stakeholders and
experts in perception, situational awareness, sensing, deep learning and
applied machine learning to discuss current and future challenges of
robotic perception and situation awareness systems, emerging technologies
in multimodal perception, and the role of perception (single or
multimodality) in real-world application domains (eg, autonomous robots,
field robotics, agricultural robotics, applied robotics). The RoSA theme is
Robotic perception for real-world applications. The key scientific and
technological objectives of the ROSA workshop are to discuss ongoing and
promising challenges and opportunities related to the following areas:

• Deep and multimodal perception systems applied to mobile robotics in
general, aerial robotics, agricultural/field robotics, autonomous robotic
systems, and related applications.

• Calibrated, probabilistic, explainable, interpretable, multimodal
perception to increase reliability of robot systems

Topics:
The topics of interest include, but are not limited to:

- Multimodal perception systems
- Trustworthiness, interpretability, and explainability in robotic
perception
- Applied perception and situational awareness
- Uncertainty calibration, Probabilistic machine learning for robotic
perception
- Safety and cyber security in robotic perception
- Reliable/robust perception systems
- Multisensory/multimodality perception for real-world applications
- Applied Artificial Intelligence in robotics
- Reliable situational awareness for robots and autonomous systems
- Applied deep learning perception
- Perception systems for ground and aerial robots
- Trends and emerging technologies in perception and situation awareness
- Connected, cooperative/collaborative perception
- Test-cases, scenarios, real-world Pilots
- Standardization, interoperability, and regulations

Submission:
The ROSA 2023 Workshop welcomes contributions reporting on original
research and high-quality submissions.  Technical research papers,
industrial papers, and position papers are welcome, addressing the fields
related to Robotic Perception and Situational Awareness in Real-world
Applications.

Prospective participants are welcome to submit:
- Full papers (maximum 8 pages for the initial submission and 6 pages for
the final submission).
- Short/poster papers (maximum 3 pages including references).

Format:
- All submissions must be formatted in A4, two-column IEEE style, in
accordance with the ECMR 2023 submission guidelines (here).
- Accepted full-papers, with high-quality standards (*), will be included
in the ECMR2023 conference proceedings and then be published in IEEExplore
platform.
- Submission: via Easychair (HERE).

(*) note: the best regular/full papers accepted in the RoSA workshop will
be eventually selected to be included in the ECMR conference proceedings
and thus published in IEEExplore. The selection criteria will be the
scientific significance/novelty of the papers and the reviewers' feedback.


Organizers:
- Cristiano Premebida, University of Coimbra, Portugal.
- Cunjia Liu, Loughborough University, UK.
- Cédric Pradalier, GeorgiaTech Lorraine, France.
- Jingjing Jiang, Loughborough University, UK.

Sponsoring:
The RoSA workshop has been partially supported by the FCT Project
"Intelligent Robotic System for Digital Agriculture" (GreenBotics), ref.
PTDC/EEI-ROB/2459/2021.
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