D3.1 - Design of Algorithms for Trustable Social Navigation
We describe the design and implementation of a library of navigation algorithms and tools to test and analyze them. The design is based on the requirements from five user categories represented in the project but also targets the broader robotics community. The library is modular and extensible from C++ and Python. Tools comprise a simulator to run large-scale offline experiments, a Virtual Reality extension to test with humans-in-the-loop, and an interface with machine learning libraries.
Institutions
- University of Applied Sciences and Arts of Southern Switzerland (CH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-01
- DOI
- https://doi.org/10.5281/zenodo.14864556
- Primary Topic
- Social Robot Interaction and HRI
- Type
- article
- Field-Weighted Citation Impact
- 0.00