Algorithmic decision making for robot navigation in unknown environments
Document Type
Conference Proceeding
Publication Date
5-10-2017
Abstract
As the field of robotics and automation continues to expand, the task of positioning and navigation is becoming more crucial for general-application autonomous robots. Robots that need to operate in dynamic and unknown environments must be able to detect obstacles and react accordingly. One such solution utilizes computer vision, range finding hardware and dynamic path planning algorithms. The results demonstrate that an adaptive robot that can react to stimuli in dynamic environments is practicably achievable.
Publication Title
Conference Proceedings - IEEE SOUTHEASTCON
Digital Object Identifier (DOI)
10.1109/SECON.2017.7925315
ISSN
07347502
ISBN
9781538615393
Citation Information
Nazario-Casey, Newsteder, H., & Kreidl, O. P. (2017). Algorithmic decision making for robot navigation in unknown environments. SoutheastCon 2017, 1–2. https://doi.org/10.1109/SECON.2017.7925315