Algorithmic decision making for robot navigation in unknown environments
Blake Nazario-Casey, Harris Newsteder, O. Patrick Kreidl · 2017
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.