Suraj Bajracharya '14 BreezySLAM: A Simple, Efficient, Cross-Platform Python Package for Simultaneous Localization and Mapping

Department Head: Sara Sprenkle sprenkles@wlu.edu
Department Administrator: Carolyn Wingrove-Moore wingrove-moorec@wlu.edu
Mailing Address: Department of Computer Science Washington and Lee University Lexington, Virginia 24450 540-458-8151

strong>Abstract: BreezySLAM is a simple, efficient, multi-platform, open‐source Python library for Simultaneous Localization and Mapping. By using Python C extensions to wrap existing implementations of existing SLAM algorithms, BreezySLAM provides a Python API for SLAM that runs nearly as fast as the original C code. By making a SLAM API available in Python, students and other interested users will be able to get their hands on SLAM very quickly and efficiently. BreezySLAM has been tested with a number of robots in V-‐REP Simulator, as well as on a Neato XV-‐11, with promising results.