This study investigates visually localizing and servoing a serial robot's tooling assembly with respect to a smooth, contoured workpiece surface through the dynamic extraction and leveraging of characteristic surface invariants. A novel formulation for 6 degree-of-freedom (DoF) textureless visual servoing is proposed which significantly extends an existing 3 -DoF scheme designed for planar surfaces. A new family of observed feature sets, and their associated interaction matrices are proposed. Curvature conditions on the workpiece shape are derived under which local asymptotic stability for 6 -DoF is guaranteed.The approach naturally, and synergistically, combines the geometric tools of computer aided design, path generation, and computer numerical control (CAD/CAM/CNC) theory, with the manipulator control tools of visual servoing. Design focuses on ease of use by accepting task descriptions in the form of time-parameterized, surface-constrained curves which are compatible with the output of existing path generation systems. Thus, this work is a contribution to the growing collection of integrated-process manufacturing techniques streamlining and extending the traditional CAD/CAM/CNC pipeline. Full surface-relative 6 -DoF pose control is achieved with respect to a workpiece which need not be precisely located, or even stationary, in the workspace. Preliminary considerations are also made for a non-rigid workpiece. iv Validation of the proposed controller is performed in simulation, and physical experiment, using an articulated desktop robot equipped with only a monocular camera and sixteen laser pointers. Additional simulations, using a partially articulated overhead gantry robot model, demonstrate that the method is applicable to highly unstructured working conditions. Relative positioning on a non-stationary surface, toolpath tracking, and positioning with respect to a continuously deforming surface, are shown to be successful in simulation. v unique ideas, suggestions, and good humor.I am grateful to my parents for their enduring support of my academic pursuits. Completing this work would not have been possible without the encouragement and confidence of my closest family and friends.