The knowledge of machining forces in robotic machining is of critical importance to ensure the accuracy and stability of the tool-workpiece interaction. To that end, this thesis presents a method for applying conventional mechanistic milling models to the prediction of cutting forces generated through the robotic machining of chamfers with arbitrary cross-sections. To apply the existing cutting force models, the edges of the workpiece to be machined are measured with a laser scanner. The resulting scan is discretized into rectangular segments, allowing the existing cutting force models to be applied to predict the forces generated through the machining of the scanned edge.The feasibility of using the existing cutting force models to predict the forces generated during low material removal rate operations is demonstrated using experimental data gathered from simple slot and end-milling tests at low feed rates. The linear and exponential both showed good agreement with experimental results, with the exception of the linear model, which consistently overpredicts the normal force generated during low depth of cut end-milling operations.Once the models are then applied to the scanned features to demonstrate the feasibility of the discretization process, the linear and non-linear model both showed good agreement with the experimentally measured tangential forces. The linear model over predicted the normal forces for some of the features tested but provided results that were more accurate than the exponential model in others.