Electrostatic Layer Jamming Variable Stiffness for Soft Robotics

A novel layer jamming variable stiffness technique for soft robotics is proposed in this paper, which we call electrostatic layer jamming (ELJ). The basic principle of the ELJ is using electrostatic attraction to squeeze material layers to generate friction and then engage jamming. Based on this technique, several specimens used in two common application scenarios including variable tensile stiffness and variable bending stiffness are fabricated, and their stiffness adjustment characteristics are investigated experimentally. Surprisingly, the test data are much larger than the theoretical prediction, which we think is because of the formation of local low air pressure regions between the contact surfaces. Also, the experimental results show that the ELJ technique possesses a large capability of stiffness changing and is space saving. The potential values of the ELJ have been shown by performing with a soft linear actuator for three representative practical applications in the soft robotic field. Finally, the existing problems and advantages of the ELJ technique are discussed, and we believe that this technique will inspire new ways and new opportunities for the soft robotic community.

[1]  Heinrich M. Jaeger,et al.  JSEL: Jamming Skin Enabled Locomotion , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Heinrich M. Jaeger,et al.  Universal robotic gripper based on the jamming of granular material , 2010, Proceedings of the National Academy of Sciences.

[3]  Filip Ilievski,et al.  Multigait soft robot , 2011, Proceedings of the National Academy of Sciences.

[4]  Karl Iagnemma,et al.  Design and Analysis of a Robust, Low-cost, Highly Articulated manipulator enabled by jamming of granular media , 2012, 2012 IEEE International Conference on Robotics and Automation.

[5]  Hiroshi Ishii,et al.  jamSheets: thin interfaces with tunable stiffness enabled by layer jamming , 2014, TEI '14.

[6]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[7]  Mehmet Remzi Dogar,et al.  Haptic identification of objects using a modular soft robotic gripper , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[8]  Oliver Brock,et al.  Selective stiffening of soft actuators based on jamming , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[9]  Mariangela Manti,et al.  Stiffening in Soft Robotics: A Review of the State of the Art , 2016, IEEE Robotics & Automation Magazine.

[10]  Matteo Cianchetti,et al.  Soft robotics: Technologies and systems pushing the boundaries of robot abilities , 2016, Science Robotics.

[11]  Weiliang Xu,et al.  A Novel Soft Machine Table for Manipulation of Delicate Objects Inspired by Caterpillar Locomotion , 2016, IEEE/ASME Transactions on Mechatronics.

[12]  D. Floreano,et al.  Versatile Soft Grippers with Intrinsic Electroadhesion Based on Multifunctional Polymer Actuators , 2016, Advanced materials.

[13]  Jamie Paik,et al.  Mori: A Modular Origami Robot , 2017, IEEE/ASME Transactions on Mechatronics.

[14]  Yang Yang,et al.  Passive Particle Jamming and Its Stiffening of Soft Robotic Grippers , 2017, IEEE Transactions on Robotics.

[15]  Allison M. Okamura,et al.  A soft robot that navigates its environment through growth , 2017, Science Robotics.