Universiteit Leiden

nl en

Research project

LIAISON

This project aims to link robot development and policymaking to reduce the complexity in robot legal compliance in the context of COVR.

Duration
2020 - 2021
Contact
Eduard Fosch Villaronga
Funding
European Union’s Horizon 2020 Research and Innovation Programme Grant Agreement No 779966

COVR stands for "being safe around collaborative and versatile robots in shared spaces" and is an H2020 COVR Project is a European project that aims to reduce the complexity in safety certifying cobots significantly. In this respect, the project has developed the COVR Toolkit. This online tool guides developers on their legal compliance process, from helping them find relevant standards/directives/protocols to guide them on how to do a risk assessment.

Since robots widely differ in embodiment, capabilities, context of use, intended target users, and many regulations may already apply to them, having tools such as the COVR Toolkit can be very helpful. However, new robot applications may not fit into existing robot categories, and legislation (private and public policy making) might be outdated and include confusing types.
 
In the context of H2020 COVR, LIAISON investigates to what extent we could use compliance tools as data generators for policymakers to unravel an optimal regulatory framing for existing and emerging robot technologies. The goal is to link robot development and policymaking to reduce the complexity in robot legal compliance.
 
In this respect, LIAISON will conceive a practical way to extract compliance and technical knowledge from compliance tools that help developers comply with the legislation, such as the COVR toolkit. The goal is to direct this knowledge to policymakers to help them work out an adequate regulatory framing (including change, revise, or reinterpret) that reflect the existing and emerging robot landscape. 

LIAISON aligns with the overall H2020 COVR goal to reduce complexity in safety certifying robots by providing policymakers with the necessary knowledge about legal inconsistencies, new categories, or new safety requirements (including psychological) to update existing frameworks. 

For more information read this journal publication and in this book chapter.

Academic outputs

Deliverables

You can find all the deliverables following this link.

1.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON — D1.1 Report on safety standards’ uncovered challenges. eLaw Center for Law and Digital Technologies at Leiden University.
2.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON — D1.2 Report on usefulness of LIAISON. eLaw Center for Law and Digital Technologies at Leiden University.
3.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON — D1.3 Report on exploratory meetings with relevant policy/standard makers. eLaw Center for Law and Digital Technologies at Leiden University.
4.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.1 Recommendations for the COVR Toolkit update LIAISON nr. MS2. Leiden: eLaw / Leiden University.
5.   Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.2 Lecture on the ‘future of law’ LIAISON nr. MS2. Leiden: eLaw / Leiden University.
6.   Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.3 Academic publication featuring the future of robot governance LIAISON nr. MS2. Leiden: eLaw / Leiden University 
7.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.4 Policy brief for standard and policymakers (EU & NEN) LIAISON nr. MS2. Leiden: eLaw / Leiden University.
8.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.5 LIAISON Lessons learned and evaluation report LIAISON nr. MS2. Leiden: eLaw / Leiden University.
9.    Fosch Villaronga E. & Drukarch H.G. (2021), H2020 COVR FSTP LIAISON – D2.6 MS2 COVR presentation describing MS2 results and achievements LIAISON nr. MS2. Leiden: eLaw / Leiden University

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779966.
 

 

This website uses cookies.  More information.