Abstract
Advanced tactile capabilities could help new generations of robots work co-operatively with people in a wider sphere than these devices have hitherto experienced. Robots could perform autonomous manipulation tasks and exploration of their environment. These applications require a thorough characterisation of the force measurement capabilities of tactile sensors. For this reason, this work focuses on the characterisation of the force envelope of the biomimetic, low-cost and robust TacTip sensor. Comparison with a traditional load cell shows that when identifying low forces and changes in position the TacTip proves significantly less noisy.
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Dahiya, R.S., Valle, M.: Tactile sensing for robotic applications. In: Rocha, J.G., Lanceros-Mendez, J.G. (eds.) Sensors: Focus on Tactile Force and Stress Sensors, pp. 289–304 (2008). http://www.intechopen.com/books/sensors-focus-on-tactile-force-and-stress-sensors/tactile_sensing_for_robotic_applications
Lepora, N.F., Martinez-Hernandez, U., Evans, M., Natale, L., Metta, G., Prescott, T.J.: Tactile superresolution and biomimetic hyperacuity. Trans. Robot. 31(3), 605–618 (2015)
Lepora, N.F., Ward-Cherrier, B.: Superresolution with an optical tactile sensor. In: Intelligent Robots and Systems (IROS), pp. 2686–2691, September 2015
Cramphorn, L., Ward-Cherrier, B., Lepora, N.: Tactile manipulation with biomimetic active touch. In: International Conference on Robotics and Automation (ICRA) (2016)
Lepora, L.: Biomimetic active touch with tactile fingertips and whiskers. IEEE Trans. Haptics (2016)
Lepora, N., Ward-Cherrier, B.: Tactile quality control with biomimetic active touch. Robot. Autom. Lett. (2016)
Winstone, B., Griffiths, G., Pipe, T., Melhuish, C., Rossiter, J.: TACTIP - tactile fingertip device, texture analysis through optical tracking of skin features. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott, T.J. (eds.) Living Machines 2013. LNCS, vol. 8064, pp. 323–334. Springer, Heidelberg (2013)
Chorley, C., Melhuish, C., Pipe, T., Rossiter, J.: Development of a tactile sensor based on biologically inspired edge encoding. In: International Conference on Advanced Robotics (ICAR), pp. 1–6 (2009)
Acknowledgments
NL and MEG were supported by the EP/M02993X/1 EPSRC grant on Tactile Superresolution Sensing.
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© 2016 Springer International Publishing Switzerland
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Giannaccini, M.E., Whyle, S., Lepora, N.F. (2016). Force Sensing with a Biomimetic Fingertip. In: Lepora, N., Mura, A., Mangan, M., Verschure, P., Desmulliez, M., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science(), vol 9793. Springer, Cham. https://doi.org/10.1007/978-3-319-42417-0_43
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DOI: https://doi.org/10.1007/978-3-319-42417-0_43
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