The objective of this FURI research is to partition the map used in Simultaneous localization and mapping problems where the sensing robots communicate with each other, as to simplify the SLAM solution with multiple robots. The researcher is creating simulations to test the success of the partitioned algorithm, as well as developing controllers to allow the algorithm to run. This will allow robotic systems that apply SLAM to be more efficient as they can utilize more than one robot when working. In the future, the researchers can apply the theoretical research done to real-world scenarios to test them.
Hometown: Tempe, Arizona
Graduation date: Spring 2021