Search

Abstract Recently, self‐driven soft robotics based on biomimetics, capable of mimicking biological motion, has attracted attention. Soft actuators using intrinsically soft organic materials are expected to be applied to haptic devices, artificial muscles, and micropumps. Ferroelectric polymers can aid in the realization of such soft actuators. However, actuators using such materials encounter problems in terms of the response frequency to an applied voltage. In this study, a soft actuator is fabricated by a printing process using a unique composite material comprising P(VDF‐TrFE), nano‐carbon material (single‐walled carbon nanotubes (SWCNT) and graphene oxide (GO)), and conductive polymer. To characterize the actuator using a minimum substrate thickness of 25 µm, hysteresis curves in the ferroelectric properties and driving characteristics according to the applied frequency are clarified. In addition, the mechanical life of the actuator under continuous voltage sweep is clarified considering it as a mechanical property. Subsequently, a simple haptics system is constructed using the fabricated actuators, and a human‐sensitive actuator demonstration system is constructed wherein the phase of the sweep frequency is variable.

Tactile sensing, particularly the detection of object slippage, is required for skillful object handling by robotic grippers. The real-time measurement and identification of the dynamic shear forces that result from slippage events are crucial for slip detection and effective object interaction. In this study, a ferroelectric polymer-based printed soft sensor for object slippage detection was developed and fabricated by screen printing. The proposed sensor demonstrated a sensitivity of 8.2 μC·cm−2 and was responsive to shear forces applied in both the parallel and perpendicular directions. An amplifier circuit, based on a printed organic thin-film transistor, was applied and achieved a high sensitivity of 0.1 cm2/V·s. Therefore, this study experimentally demonstrates the effectiveness of the proposed printable high-sensitivity tactile sensor, which could serve as part of a wearable robotic e-skin. The sensor could facilitate the production of a system to detect and prevent the slippage of objects from robotic grippers.