This research aims to integrate the Manifold Deformation Design Scheme (MDDS) into the control system of a robotic arm to achieve highly precise manipulation. MDDS simplifies dynamic analysis and controller design for nonlinear control systems, particularly addressing the challenge of gain scheduling. By employing topological analysis of system dynamics, MDDS effectively handles model uncertainties and meets specific performance requirements. Unlike traditional methods, MDDS reduces the complexity of deriving differential equations by transforming the system to conform to desired specifications, enabling more efficient controller design. To validate its effectiveness, MDDS was compared with the widely used Proportional-Integral-Derivative (PID) control method on a 7-axis suspended robotic arm custom-built according to the manufacturer’s requirements. The robotic arm’s motion was tested along three planned paths: linear, circular, and workpiece trajectories. Both MDDS and PID successfully tracked these paths; however, MDDS consistently exhibited smaller position errors and superior control stability. Specifically, the maximum position error for PID was within 18 mm, whereas MDDS maintained a maximum error of just 1 mm. The results highlight the advantages of MDDS, confirming it as a reliable and efficient control method for nonlinear perturbed systems. Its ability to provide precise control for complex and high-precision tasks makes MDDS a promising and essential control strategy for industrial robotic arm applications, offering improved performance and stability.