SEAN: Social Environment for Autonomous Navigation
| Autor: | Nathan Tsoi, Mohamed Hussein, Xavier Ruiz, Marynel Vázquez, Jeacy Espinoza |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Computer science Social environment Social navigation 02 engineering and technology Human–robot interaction Field (computer science) Variety (cybernetics) Computer Science - Robotics 020901 industrial engineering & automation Open source Human–computer interaction Robot Visual fidelity Robotics (cs.RO) |
| Zdroj: | HAI |
| DOI: | 10.48550/arxiv.2009.04300 |
| Popis: | Social navigation research is performed on a variety of robotic platforms, scenarios, and environments. Making comparisons between navigation algorithms is challenging because of the effort involved in building these systems and the diversity of platforms used by the community; nonetheless, evaluation is critical to understanding progress in the field. In a step towards reproducible evaluation of social navigation algorithms, we propose the Social Environment for Autonomous Navigation (SEAN). SEAN is a high visual fidelity, open source, and extensible social navigation simulation platform which includes a toolkit for evaluation of navigation algorithms. We demonstrate SEAN and its evaluation toolkit in two environments with dynamic pedestrians and using two different robots. |
| Databáze: | OpenAIRE |
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