Our approach can be applied in a variety of additive construction processes, and we demonstrate it specifically on spatial extrusion and discrete bar assembly in this paper.
Robotics
The goal is to automate the process of robot location finding and solve the limitations of modular robot assembly simulation processes in order to allow for effective execution during the robotic construction implementation.
Our study indicates RCNs improve the prediction accuracy of the model despite that the baseline feed-forward CNNs successfully learns the relationship between the visual information and the next step control actions of the robot.