Identification of Contact Conditions from Contaminated Data of Contact Force and Moment

This paper discusses a method for identification of contact conditions from the information of 6-axes force sensor equipped with a robot hand. The previous paper has the following problems. (1) The noise of sensing force was not considered. (2) Hence, the estimates obtained by the previous method are biased from true value, and the identification of contact types depends on an unknown contact position. This paper thinks over the noise of force. We propose a method of removing the bias from the estimates. Hence, it is guaranteed that asymptotically unbiased estimates are obtained. The contact types can be judged by eigenvalues of a covariance matrix, which is derived from estimates of contact moment. The effectiveness of the algorithm is demonstrated by simulations.