Abstract
Limitations in modern sensing technologies result in large errors in sensed target object geometry and location in unstructured environments. As a result, positioning a robotic end-effector includes inherent error that will often lead to unsuccessful grasps. In previous work, we demonstrated that optimized configuration, compliance, viscosity, and adaptability in the mechanical structure of a robot hand facilitates reliable grasping in unstructured environments, even with purely feedforward control of the hand. In this paper we describe the addition of a simple contact sensor to the fingerpads of the SDM Hand (Shape Deposition Manufactured Hand), which, along with a basic control algorithm, significantly expands the grasp space of the hand and reduces contact forces during the acquisition phase of the grasp. The combination of the passive mechanics of the SDM Hand along with this basic sensor suite enables positioning errors of over 5 cm in any direction. In the context of mobile manipulation, the performance demonstrated here may reduce the need for much of the complex array of sensing currently utilized on mobile platforms, greatly increase reliability, and speed task execution, which can often be prohibitively slow.
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References
Breazeal, C. et al. (2008). Mobile, dexterous, social robots for mobile manipulation and human-robot interaction. In International conference on computer graphics and interactive techniques, ACM SIGGRAPH 2008, new tech demos.
Brock, D. L. (1993). A sensor-based strategy for automatic robotic grasping. Doctoral Dissertation, Massachusetts Institute of Technology.
Butterfass, J., Grebenstein, M., Liu, H., & Hirzinger, G. (2001). DLR-Hand II: next generation of a dextrous robot hand. In Proceedings of the 2001 IEEE international conference on robotics and automation (ICRA 2001) (pp. 109–114).
Clark, J. E. et al. (2001). Biomimetic design and fabrication of a hexapedal running robot. In Proceedings of the 2001 international conference on robotics and automation (ICRA 2001).
Dollar, A. M., & Howe, R. D. (2005). Towards grasping in unstructured environments: Grasper compliance and configuration optimization. Advanced Robotics, 19(5), 523–544.
Dollar, A. M., & Howe, R. D. (2006). Joint Coupling Design of Underactuated Grippers. In Proceedings the 30th annual ASME mechanisms and robotics conference, 2006 international design engineering technical conferences (IDETC).
Dollar, A. M., & Howe, R. D. (2007). Simple, robust autonomous grasping in unstructured environments. In Proceedings of the 2007 international conference on robotics and automation (ICRA 2007).
Fearing, R. S. (1987). Some experiments with tactile sensing during grasping. In Proc. of the 1987 intl. conf. on robotics and automation (ICRA 1987) (pp. 1637–1643).
Fearing, R. S., & Binford, T. O. (1991). Using a cylindrical tactile sensor for determining curvature. IEEE Transactions on Robotics and Automation, 7(6), 806–817.
Hirose, S., & Umetani, Y. (1978). The development of soft gripper for the versatile robot hand. Mechanism and Machine Theory, 13, 351–359.
Howe, R. D., & Cutkosky, M. R. (1992). Touch sensing for robotic manipulation and recognition. In O. Khatib et al. (Eds.), Robotics review 2 (pp. 55–112). Cambridge: MIT Press.
Howe, R. D., & Cutkosky, M. R. (1993). Dynamic tactile sensing: Perception of fine surface features with stress rate sensing. IEEE Transactions on Robotics and Automation, 9(2), 140–151.
Jacobsen, S. C., Iversen, E. K., Knutti, D. F., Johnson, R. T., & Biggers, K. B. (1986). Design of the Utah/MIT dextrous hand. In Proceedings of the 1986 IEEE int. conf. on robotics and automation (ICRA 1986) (pp. 1520–1532).
Jacobsen, S. C., McCammon, I. D., Biggers, K. B., & Phillips, R. P. (1988). Design of tactile sensing systems for dextrous manipulators. IEEE Control Systems Magazine, 8(1), 3–13.
Kemp, C. C., Anderson, C. D., Nguyen, H., Trevor, A. J., & Xu, Z. (2008). A point-and-click interface for the real world: laser designation of objects for mobile manipulation. In Proceedings of the 3rd ACM/IEEE international conference on human robot interaction (pp. 241–248).
Khatib, O. (1999). Mobile manipulation: the robotic assistant. Robotics and Autonomous Systems, 26, 175–183.
Lee, M. H., & Nicholls, H. R. (1999). Tactile sensing for mechatronics: a state of the art survey. Mechatronics, 9(1), 1–31.
Merz, R., Prinz, F. B., Ramaswami, K., Terk, M., & Weiss, L. (1994). Shape deposition manufacturing. In Proceedings of the solid freeform fabrication symposium, Univ. of Texas at Austin.
Natale, L., & Torres-Jara, E. (2006). A sensitive approach to grasping. In Sixth international conference on epigenetic robotics.
Saxena, A., Driemeyer, J., & Ng, A. Y. (2008). Robotic grasping of novel objects using vision. International Journal of Robotics Research, 27(2), 157–173.
Son, J. S., Cutkosky, M. R., & Howe, R. D. (1996). Comparison of contact sensor localization abilities during manipulation. Robotics and Autonomous Systems, 17(4), 217–233.
Tegin, J., & Wikander, J. (2005). Tactile sensing in intelligent robotic manipulation—a review. The Industrial Robot, 32(1), 64–70.
Tomovic, R., Bekey, G., & Karplus, W. (1987). A strategy for grasp synthesis with multifingered robot hands. In Proceeding of the 1987 IEEE international conference on robotics and automation. (ICRA 1987) (Vol. 4, pp. 83–89).
Tremblay, M. R., Hyde, J. M., & Cutkosky, M. R. (1995). An object-oriented framework or event-driven dextrous manipulation. In Proceedings of the 4th intl. symposium on experimental robotics.
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Dollar, A.M., Jentoft, L.P., Gao, J.H. et al. Contact sensing and grasping performance of compliant hands. Auton Robot 28, 65–75 (2010). https://doi.org/10.1007/s10514-009-9144-9
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DOI: https://doi.org/10.1007/s10514-009-9144-9