Konjac Glucomannan-based Soft Sensorized Phantom Simulator for Detection of Cutting Action

As automation machines continue to integrate into various industrial sectors, the rise of soft robotic technologies holds promise for their application in everyday human life. In light of concerns about the environmental impact of this transition, including energy consumption and pollution, sustainability has become a key focus for the soft robotics community. This study introduces an innovative solution using a biodegradable material derived from Konjac Glucomannan (KGM) powder combined with Gelatin (referred to as KGE) for the development of eco-friendly soft devices. Tensile testing demonstrates that KGE possesses mechanical integrity comparable to commonly used hydrogels. Additionally, we present the inaugural implementation of medical simulators designed to replicate the skin's response during surgical procedures. An Electrical Impedance Tomography (EIT) system is employed to track incision trails and physical damages on the simulated skin. Experimental testing across various injury types reveals the system's ability to capture the wound's shape, albeit with limited precision in localization. This research marks a significant step toward expanding the utilization of KGM in the creation of a new generation of sustainable soft machines.