Deployable Decision-Making: Embracing Semantics for Robotic Safety in Everyday Scenarios

Project Information

SSDM

Grant agreement ID: 101155035

DOI

10.3030/101155035

Project terminated on 31 August 2025

EC signature date 3 May 2024

Start date 1 June 2024

End date 31 May 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 173 847,36

Coordinated by

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (3)

Preventing Inactive CBF Safety Filters Caused by Invalid Relative Degree Assumptions

Author(s): Lukas Brunke, Siqi Zhou, Angela P. Schoellig
Published in: IEEE Transactions on Automatic Control, 2025, ISSN 0018-9286
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TAC.2025.3608258

Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards

Author(s): Lukas Brunke, Yanni Zhang, Ralf Römer, Jack Naimer, Nikola Staykov, Siqi Zhou, Angela P. Schoellig
Published in: IEEE Robotics and Automation Letters, Issue 10, 2025, ISSN 2377-3766
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/LRA.2025.3553046

SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography

Author(s): Martin Schuck, Dinushka Orrin Dahanaggamaarachchi, Ben Sprenger, Vedant Vyas, Siqi Zhou, Angela P. Schoellig
Published in: IEEE Robotics and Automation Letters, 2025, ISSN 2377-3766
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/LRA.2025.3619745