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Enhancing Haptic Performance of Novint Falcon through Algorithmic Optimization

This project aims to improve the haptic rendering of the Novint Falcon haptic interface by developing an algorithm for gravity and friction compensation. By optimizing the device's performance, users can experience consistent haptic feedback similar to high-end precision devices at a fraction of the cost. The study focuses on addressing challenges related to system identification, kinematics, and control to achieve a smoother and more accurate haptic experience. Through user tests and parameter optimization, the project aims to establish a reliable algorithm for enhancing the Novint Falcon's haptic capabilities.

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Enhancing Haptic Performance of Novint Falcon through Algorithmic Optimization

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  1. Identification and Optimization of the Haptic Rendering from a “Novint Falcon”. Aman Shah Scott Teuscher Advised by: Prof. Jake Abbott, Dept. of Mechanical Engineering.

  2. Overview • Novint Falcon is low cost high volume haptic interface • Haptic performance varies within and from device to device

  3. Motivation • By increasing the haptic performance of the falcon we can get consistent and similar feel to more expensive “precision” devices • Example: 2 orders of magnitude in cost • Force Dimension Omega.x ~ $20k • Novint Falcon ~ $150

  4. CHALLENGES • Kinematics • Accurate System Identification • Weights and dimensions • Center of Mass • Moments of Inertia • Motor Characterization • Model Predictive Control MOMENT OF INERTIA INSTRUMENTS - XR Series

  5. QUESTION WE HOPE TO ANSWER : Can we develop an algorithm for gravity and friction compensation to cause the Novint Falcon to feel consistent within it’s own workspace, as well as between different devices?

  6. FINAL OUTPUT • User tests to determine if we have increased the haptic performance within and between devices • System parameters for general public use • Barring no improvement, an algorithm for improving the haptic performance of a Novint Falcon

  7. QUESTIONS?

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