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Modeling of Continuum Manipulators Using Pythagorean Hodograph Curves
Inderjeet Singh1, Yacine Amara2, Achille Melingui3
11 Université de Lille , CRIStAL, CNRS-UMR 9189, Villeneuve d'Ascq, France .
Soft Robotics
|May 11, 2018
Summary
This study introduces a new quantitative kinematic modeling method for continuum robots using Pythagorean hodograph curves. This approach enhances shape reconstruction and inverse kinematic model accuracy for bionic robotics applications.
Area of Science:
- Bionic Robotics
- Continuum Manipulators
- Robotics Control
Background:
- Continuum manipulators offer advantages over rigid robots but present control challenges due to their inherent flexibility.
- Accurate behavioral modeling is crucial for developing effective control strategies for these soft robots.
- Existing kinematic modeling often simplifies behavior by assuming constant curvature.
Purpose of the Study:
- To propose a quantitative kinematic modeling method for continuum manipulators using Pythagorean hodograph (PH) curves.
- To achieve a three-dimensional shape reconstruction of continuum manipulators with variable curvature.
- To enable the calculation of the inverse kinematic model (IKM) for improved robot control.
Main Methods:
- Developed a quantitative kinematic model based on Pythagorean hodograph (PH) curves.
- Focused on variable curvature modeling for enhanced shape reconstruction.
- Calculated the inverse kinematic model (IKM) for the continuum manipulator.
Main Results:
- The PH-based kinematic modeling significantly improves position accuracy and shape reconstruction.
- This method offers considerable time and cost benefits compared to other kinematic modeling approaches.
- The model demonstrated strong performance in both free load and variable load manipulation scenarios.
Conclusions:
- Pythagorean hodograph curves provide an effective method for accurate kinematic modeling of continuum manipulators.
- The proposed approach enables precise 3D shape reconstruction and inverse kinematic calculations.
- This research advances control strategies for bionic robots by providing a robust kinematic model.
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