Intelligent Fingertip Sensing for Contact Information Identification

In this paper we propose a new iterative algorithm for effective contact information identification, allowing a fingertip equipped with 6-axis force/torque sensor to accurately estimate contact information, including the contact location on the fingertip, the direction and the magnitude of the friction and normal forces, the local torque generated at the surface. The proposed algorithm is highly computational efficient and achieves an update rate of 833 Hz. The accuracy of the proposed algorithm has been validated experimentally. The results show that the algorithm provides precise estimation for all the identified contact properties.

[1]  Takayoshi Yamada,et al.  Autonomous sensing strategy for parameter identification of contact conditions by active force sensing , 2010, 2010 IEEE International Conference on Robotics and Biomimetics.

[2]  R. Klatzky,et al.  Haptic classification of common objects: Knowledge-driven exploration , 1990, Cognitive Psychology.

[3]  Yan-Bin Jia,et al.  Pose and Motion from Contact , 1999, Int. J. Robotics Res..

[4]  Takeshi Tsujimura,et al.  Object detection by tactile sensing method employing force/torque information , 1989, IEEE Trans. Robotics Autom..

[5]  Antonio Bicchi,et al.  Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity , 2000, IEEE Trans. Robotics Autom..

[6]  Allison M. Okamura,et al.  Feature Detection for Haptic Exploration with Robotic Fingers , 2001, Int. J. Robotics Res..

[7]  Joris De Schutter,et al.  Polyhedral contact formation identification for autonomous compliant motion: exact nonlinear bayesian filtering , 2005, IEEE Transactions on Robotics.

[8]  John Kenneth Salisbury,et al.  Interpretation of contact geometries from force measurements , 1984, ICRA.

[9]  Kouji Murakami,et al.  Tactile Sensing of Edge Direction of an Object using a Robotic Fingertip with Soft Skin , 2006 .

[10]  Kaj Madsen,et al.  Methods for Non-Linear Least Squares Problems , 1999 .

[11]  Giulio Sandini,et al.  Tactile Sensing—From Humans to Humanoids , 2010, IEEE Transactions on Robotics.

[12]  Nawid Jamali,et al.  Majority Voting: Material Classification by Tactile Sensing Using Surface Texture , 2011, IEEE Transactions on Robotics.

[13]  Kaspar Althoefer,et al.  Rolling Mechanical Imaging for Tissue Abnormality Localization During Minimally Invasive Surgery , 2010, IEEE Transactions on Biomedical Engineering.

[14]  Kaspar Althoefer,et al.  Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery , 2011, IEEE Transactions on Robotics.

[15]  Kouji Murakami,et al.  Tactile Sensing of Edge Direction of an Object with a Soft Fingertip Contact , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[16]  P. Gonzalez de Santos,et al.  Intrinsic tactile sensing for the optimization of force distribution in a pipe crawling robot , 2001 .

[17]  John Kenneth Salisbury,et al.  Contact Sensing from Force Measurements , 1990, Int. J. Robotics Res..