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RoSA 2023 : International Workshop on Robotic perception and Situation Awareness @ ECMR 2023


When Sep 4, 2023 - Sep 4, 2023
Where Coimbra, Portugal
Submission Deadline Jun 30, 2023
Notification Due Jul 30, 2023
Final Version Due Aug 27, 2023
Categories    robotics   machine learning   perception   mobile robotics

Call For Papers

********** RoSA 2023 (@ 11th ECMR) ***********
WS on Robotic perception and Situation Awareness
Theme: Robotic Perception for Real-world Applications

- 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 (during the keynote speakers’ session and the Posters’ session) 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

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

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).

- All submissions must be formatted in A4, two-column IEEE style, in accordance with the ECMR 2023 submission guidelines:
- 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:

(*) 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.

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

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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