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Visualized Sensing‐Integrated Multi‐Responsive Soft Actuator for On‐Demand Robotic Manipulation

Xiyue Cui, Yuyang Zeng, Liutong Qin, Xiang Cheng, Yuanyuan Yang

Year
2024
Citations
2

Abstract

Abstract Research on small‐scale soft robots has emerged in recent years, and various soft actuators have been developed to implement various actions. Nevertheless, realizing self‐sensing alongside environmental sensing capabilities remains a challenge, largely due to the constraints imposed by compact dimensions and the limited load‐bearing capacity intrinsic to these robots. In this study, an innovative approach is introduced through the development of a visualized sensing integrated soft actuator, which harnesses the actuator's color as a straightforward and real‐time sensing medium. Additionally, a multi‐responsive actuation mechanism is adopted in which the actuator responds concurrently to both electric and magnetic fields. To exemplify the efficacy of this concept, the actuators are engineered as flexible soft grippers, thereby accommodating functions encompassing grasping and transporting. Relying on the color distribution manifested by the actuator, the actuator's self‐sensing ability alongside its capacity to discern object temperatures is demonstrated. Such a soft actuator provides new perspectives in the realm of soft robotics, showing great potential in diverse robotic applications.

Keywords

ActuatorSoft roboticsComputer scienceOn demandHuman–computer interactionControl engineeringEngineeringArtificial intelligenceMultimedia

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