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The ROBOSKIN Project: Challenges and Results

  • Conference paper
Romansy 19 – Robot Design, Dynamics and Control

Abstract

The goal of the ROBOSKIN project is to develop and demonstrate a range of new robot capabilities based on the tactile feedback provided by a robotic skin covering large areas of the robot body. So far, a principled investigation of these issues has been limited by the lack of tactile sensing technology enabling large scale experimental activities. As a matter of fact, skin based technology and embedded tactile sensors have been mostly demonstrated only at the stage of prototypes. The new capabilities are expected to improve the ability of robots to effectively and safely operate in unconstrained environments, as well as to communicate and cooperate with each other and with humans.

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Bibliography

  • D. Anghinolfi, G. Cannata, F. Mastrogiovanni, C. Nattero, and M. Paolucci. Heuristic approaches for the optimal wiring in large scale robotic skin design. Computers and Operation Research, 39(11):2715–2724, 2012.

    Article  MathSciNet  MATH  Google Scholar 

  • E. Baglini, G. Cannata, and F. Mastrogiovanni. Design of an embedded networking infrastructure for whole-body tactile sensing in humanoid robots. In Proceedings of the 2010 IEEE-RAS International Conference on Humanoid Robotics (HUMANOIDS 2010), Nashville, USA, December 2010.

    Google Scholar 

  • G. Cannata, S. Denei, and F. Mastrogiovanni. Towards automated selfcalibration of robot skin. In Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, USA, May 2010a.

    Google Scholar 

  • G. Cannata, S. Denei, and F. Mastrogiovanni. A framework for representing interaction tasks based on tactile data. In Proceedings of the 2010 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2010), Viareggio, Italy, September 2010b.

    Google Scholar 

  • G. Cannata, S. Denei, and F. Mastrogiovanni. Tactile sensing: Steps to artificial somatosensory maps. In Proceedings of the 2010 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2010), Viareggio, Italy, September 2010c.

    Google Scholar 

  • P. Maiolino, T-H-L. Lee, A. Schmitz, F. Mastrogiovanni, and G. Cannata. A toolbox for supporting the design of large-scale tactile systems. In Proceedings of the 2011 IEEE-RAS International Conference on Humanoid Robotics (HUMANOIDS 2011), Bled, Slovenia, November 2011.

    Google Scholar 

  • S. McGregor, D. Polani, and K. Dautenhahn. Generation of tactile maps for artificial skin. PLoS ONE, 11(6), 2011.

    Google Scholar 

  • G. Pierris and T. S. Dahl. Compressed sparse code hierarchical som on learning and reproducing gestures in humanoid robots. In Proceedings of the 2010 IEEE International Symposium in Robot and Human Interactive Communication (ROMAN 2010), Viareggio, Italy, September 2010.

    Google Scholar 

  • A. Del Prete, S. Denei, L. Natale, F. Mastrogiovanni, F. Nori, G. Cannata, and G. Metta. Skin spatial calibration using force / torque measurements. In Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA, October 2011.

    Google Scholar 

  • E. Sauser, B. Argall, G. Metta, and A. Billard. Iterative learning of grasp adaptation through human corrections. Robotics and Autonomous Systems, 60(1):55–71, 2012.

    Article  Google Scholar 

  • A. Schmitz, P. Maiolino, M. Maggiali, L. Natale, G. Cannata, and G. Metta. Methods and technologies for the implementation of large-scale robot tactile sensors. IEEE Transactions on Robotics, 3(27):389–400, 2011.

    Article  Google Scholar 

  • J. Wainer, K. Dautenhahn, B. Robins, and F. Amirabdollahian. Collaborating with kaspar: Using an autonomous humanoid robot to foster cooperative dyadic play among children with autism. In Proceedings of the 2010 IEEE-RAS International Conference on Humanoid Robotics (HUMANOIDS 2010), Nashville, USA, December 2010.

    Google Scholar 

  • S. Youssefi, S. Denei, F. Mastrogiovanni, and G. Cannata. A middleware for whole body skin-like tactile systems. In Proceedings of the 2011 IEEE- RAS International Conference on Humanoid Robotics (HUMANOIDS 2011), Bled, Slovenia, November 2011.

    Google Scholar 

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© 2013 CISM, Udine

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Billard, A. et al. (2013). The ROBOSKIN Project: Challenges and Results. In: Padois, V., Bidaud, P., Khatib, O. (eds) Romansy 19 – Robot Design, Dynamics and Control. CISM International Centre for Mechanical Sciences, vol 544. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1379-0_43

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  • DOI: https://doi.org/10.1007/978-3-7091-1379-0_43

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1378-3

  • Online ISBN: 978-3-7091-1379-0

  • eBook Packages: EngineeringEngineering (R0)

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