Researchers' new algorithm makes industrial robots 50% more precise and efficient
A hybrid B-spline and Quaternion method enables smoother, faster robotic milling with fewer errors.
Researchers Sina Akhbari and Mehran Mahboubkhah developed a new trajectory generation algorithm for 4-DOF parallel kinematic milling robots. It combines B-spline position interpolation with Quaternion-based orientation control to synchronize tool paths, optimized via sequential quadratic programming. The method runs on low-cost microcontrollers and, in tests, delivered enhanced accuracy, reduced velocity fluctuations, and greater computational efficiency compared to conventional techniques, enabling more precise and reliable automated manufacturing.
Why It Matters
This enables cheaper, more precise CNC machining and complex part fabrication, boosting manufacturing quality and automation potential.