Robotics and Dynamics Laboratory
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Shape Estimation of Soft Robots

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Because Soft Robots lack traditional joints, and they can deform continually along their length, shape estimation is a challenging task.  One of the biggest questions is what kind of sensors do we need in order to accurately and completely describe their shape.  Using RGB-D cameras we have shown that current SLAM methods allow for real-time configuration estimation and control of a soft robot with as much accuracy as our motion capture system.  

​Sorensen, C., Hyatt, P., Ricks, M., Nielsen, S., & Killpack, M. Soft Robot Configuration Estimation and Control Using Simultaneous Localization and Mapping



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Rad Lab
140 Engineering Building
Brigham Young University
​Provo, Utah 84602

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Email: [email protected]
Phone: 801-422-3627
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