In this paper, we propose a data driven approach to predict the appropriate bending angle for a soft gripper to effectively grasp objects of different shapes and orientations from their ultrasonic ...

A classification-guided regression network is designed for the prediction task. On an experimental setup, prediction accuracies (for bend angle) of approximately 80% are obtained. The ultrasonic ...

An obstacle-avoiding robot using an ultrasonic sensor and motor control, programmed with Arduino to autonomously navigate and avoid obstacles by stopping, reversing, and turning.