Soft Robotic Prosthesis: Sensory Development

Abstract

The mission is to enhance the functionality of prosthetic devices by exploring the possibilities of integrating natural sensory systems with soft robotics. Our research is centered around gaining a deeper understanding of how sensory information is processed in these systems, to improve it. The research’s focus is on establishing a more robust connection between programmable sensors and tactile senses, enabling prosthetic devices to detect potential danger in their surroundings and alert the user. Our goal is to elevate sensory perception and provide greater protection in challenging environments. We strive to make prosthetic devices more efficient and offer people a richer and more nuanced world experience.

There are two primary methods for controlling prosthetic devices based on input from the patient. The first involves connecting the device directly to the patient's nervous system to utilize neural signals for control. The second method involves detecting changes in forearm muscle shape and tension as an indication of intended movement. Advanced software processes this input, whether from neural signals or muscle activity patterns, to translate it into precise movements of the prosthetic fingers. The objective is to develop this software to a level where the prosthetic can perform a variety of tasks, from simple grasping to complex fine motor functions such as typing or handling delicate objects. This will allow the prosthetic to closely emulate the dexterity and responsiveness of a natural limb, making it intuitive for the user to operate the device.