1 research outputs found
Vision-Based Proprioceptive Sensing for Soft Inflatable Actuators
This paper presents a vision-based sensing approach for a soft linear
actuator, which is equipped with an integrated camera. The proposed
vision-based sensing pipeline predicts the three-dimensional position of a
point of interest on the actuator. To train and evaluate the algorithm,
predictions are compared to ground truth data from an external motion capture
system. An off-the-shelf distance sensor is integrated in a similar actuator
and its performance is used as a baseline for comparison. The resulting sensing
pipeline runs at 40 Hz in real-time on a standard laptop and is additionally
used for closed loop elongation control of the actuator. It is shown that the
approach can achieve comparable accuracy to the distance sensor.Comment: This work has been submitted to the 2020 IEEE International
Conference on Robotics and Automation (ICRA) for possible publication.
Accompanying video: https://youtu.be/1MJuhxVcTn