This thesis introduces an orienting mechanism and control system for the purpose of eye tonometry. The design is based on a 3RRR spherical parallel manipulator architecture. The end-effector is mounted with a triad of force sensing elements. Presented in this paper is a unique approach to force control based on an artificial neural network. The mechanism generates movements to collect data about its tactile environment ultimately generating a path to the force sensors' equilibrium point.