1. [Publications](/index.php/publications) 2. Stretchable Transducers for Kinesthetic Interactions in Virtual Reality # Stretchable Transducers for Kinesthetic Interactions in Virtual Reality ![](/sites/default/files/styles/wide/public/publications/peele17thumbnail.PNG?itok=6wgYnn3L) The tools of soft robotics enable immersive kinesthetic experiences in virtual reality. Using fluidic elastomer actuators (FEAs), we demonstrate a soft skin that can provide force feedback and a soft controller to simulate different textures and materials. These novel input devices integrate with a VR Funhouse experience. ## Authors Robert Shepherd (Cornell University) Bryan Peele (Cornell University) Benjamin Mac Murray (Cornell University) Jose Barreiros (Cornell University) [Omer Shapira](/index.php/person/omer-shapira) [Josef Spjut](/index.php/person/josef-spjut) [David Luebke](/index.php/person/david-luebke) ## Publication Date Sunday, July 30, 2017 ## Published in [SIGGRAPH Emerging Technologies](http://s2017.siggraph.org/content/emerging-technologies) ## Research Area [Human Computer Interaction](/index.php/research-area/human-computer-interaction) [VR, AR and Display Technology](/index.php/research-area/virtual-augmented-reality) ## Uploaded Files [abstract](https://research.nvidia.com/sites/default/files/publications/peele_siggraph_etech17.pdf "Open file in new window")2.8 MB ## Copyright Copyright by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or . The definitive version of this paper can be found at ACM's Digital Library .