Presentation
Computational Modeling and Design of Capacitive Stretch Sensors
DescriptionA stretch sensor is a device that attaches to objects and measures the amount by which they deform. These sensors have shown great promise as an alternative to vision-based motion-capture systems, and for robotic sensing. Currently, they are generally limited to linear designs, and require a somewhat challenging calibration process. Our goal is to enable inverse design of such sensor, and to largely eliminate the calibration process.
To this end, we introduce a highly accurate, differentiable simulator for capacitive stretchsensors, that treats both the elasto- and electro-static parts of the system. The differentiability allows us to optimize the geometric properties of the sensor in order to improve its design for specific applications. We demonstrate the accuracy of our simulator and the effectiveness of our sensor optimization process for various use-cases, such as human interfaces and robotics.
To this end, we introduce a highly accurate, differentiable simulator for capacitive stretchsensors, that treats both the elasto- and electro-static parts of the system. The differentiability allows us to optimize the geometric properties of the sensor in order to improve its design for specific applications. We demonstrate the accuracy of our simulator and the effectiveness of our sensor optimization process for various use-cases, such as human interfaces and robotics.
Event Type
Technical Papers
TimeWednesday, 17 December 202510:40am - 10:51am HKT
LocationMeeting Room S421, Level 4