Efficient Force Estimation for Continuum Robot
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External contact force is one of the most significant information for the robots to model, control, and safely interact with external objects. For continuum robots, it is possible to estimate the contact force based on the measurements of robot configurations, which addresses the difficulty of implementing the force sensor feedback on the robot body with strict dimension constraints. In this paper, we use local curvatures measured from fiber Bragg grating sensors (FBGS) to estimate the magnitude and location of single or multiple external contact forces. A simplified mechanics model is derived from Cosserat rod theory to compute continuum robot curvatures. Least-square optimization is utilized to estimate the forces by minimizing errors between computed curvatures and measured curvatures. The results show that the proposed method is able to accurately estimate the contact force magnitude (error: 5.25% – 12.87%) and locations (error: 1.02% – 2.19%). The calculation speed of the proposed method is validated in MATLAB. The results indicate that our approach is 29.0 – 101.6 times faster than the conventional methods. These results indicate that the proposed method is accurate and efficient for contact force estimations.
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