A Universal Gripper Using Optical Sensing to Acquire Tactile Information and Membrane Deformation

The universal gripper has attracted attention due to its simple structure and advanced grasping ability for irregularly shaped objects. In this research, we propose a novel design for a granular-jamming-based gripper which uses a transparent filling and a semi-transparent membrane to allow optical sensing to detect both deformation of the membrane and the object being grasped. By adjusting the refractive index of an oil mixture to the refractive index of the granular bodies, we produced a fully transparent filling that allows the use of a camera inside the universal gripper. In this paper, we present the materials and development of our prototype, and describe the experimental confirmation of the prototype's performance. We showed that our prototype was able to grasp cylindrical and rectangular objects between 10 to 70 mm length while also tracking the deformation of the gripper.

[1]  Fumiya Iida,et al.  Soft Manipulators and Grippers: A Review , 2016, Front. Robot. AI.

[2]  Christopher G. Atkeson,et al.  Combining finger vision and optical tactile sensing: Reducing and handling errors while cutting vegetables , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[3]  Jonathan Rossiter,et al.  The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies , 2018, Soft robotics.

[4]  Nathan F. Lepora,et al.  Exploiting Sensor Symmetry for Generalized Tactile Perception in Biomimetic Touch , 2017, IEEE Robotics and Automation Letters.

[5]  Rui Caseiro,et al.  High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Tsukasa Ogasawara,et al.  Development of the NAIST-Hand with Vision-based Tactile Fingertip Sensor , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[7]  Edward H. Adelson,et al.  GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force , 2017, Sensors.

[8]  Fumiya Iida,et al.  Localized differential sensing of soft deformable surfaces , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[9]  Heinrich M. Jaeger,et al.  A Positive Pressure Universal Gripper Based on the Jamming of Granular Material , 2012, IEEE Transactions on Robotics.

[10]  Andrew W. Fitzgibbon,et al.  Direct Least Square Fitting of Ellipses , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  AmendJohn,et al.  Soft Robotics Commercialization: Jamming Grippers from Research to Product. , 2016 .

[12]  Ravinder Dahiya,et al.  Robotic Tactile Perception of Object Properties: A Review , 2017, ArXiv.

[13]  Juho Kannala,et al.  A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.