To overcome these issues, we have proposed various compliant fiber-optic based force and torque sensors that have proved their capabilities to accurately measure force and torque in three and six directions. Both bodies are indirectly connected by prestressed segments of a fiber. Therefore, new sensing technologies are required that can offer precision in measurement, while offering compliance at the contact points with user. Subsequently, the system employs the radial basis function neural network optimized by simulated annealing combined with particle swarm.
