Title :
Control of contact forces: The role of tactile feedback for contact localization
Author :
Prete, Andrea Del ; Nori, Francesco ; Metta, Giorgio ; Natale, Lorenzo
Author_Institution :
Robot., Brain & Cognitive Sci. Dept., Ist. Italiano di Tecnol., Genoa, Italy
Abstract :
This paper investigates the role of precise estimation of contact points in force control. This analysis is motivated by scenarios in which robots make contacts, either voluntarily or accidentally, with different parts of their body. Control paradigms that are usually implemented in robots with no tactile system, make the hypothesis that contacts occur at the end-effectors only. In this paper we try to investigate what happens when this assumption is not verified. First we consider a simple feedforward force control law, and then we extend it by introducing a proportional feedback term. For both controllers we find the error in the resulting contact force, that is induced by a hypothetic error in the estimation of the contact point. We show that, depending on the geometry of the contact, incorrect estimation of contact points can induce undesired joint accelerations. We validate the presented analysis with tests on a simulated robot arm. Moreover we consider a complex real world scenario, where most of the assumptions that we make in our analytical derivation do not hold. Through tests on the iCub humanoid robot we see how errors in contact localization affect the performance of a parallel force/position controller. In order to estimate contact points and contact forces on the forearm of the iCub we do not use any model of the environment, but we exploit its 6-axis force/torque sensor and its sensorized skin.
Keywords :
force control; haptic interfaces; humanoid robots; position control; contact force control; contact localization; control paradigms; humanoid robot; hypothetic error; iCub humanoid robot; parallel force controller; parallel position controller; robot arm; tactile feedback; tactile system; Feedforward neural networks; Force; Force control; Jacobian matrices; Joints; Robot sensing systems;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4673-1737-5
DOI :
10.1109/IROS.2012.6385803