Dynamic Schottky DC Generator as a Bio-Inspired Artificial Mechanoreceptor for Robotic Tactile Sensing and Manipulation

The integration of self-powered sensing mechanisms with robotic framework holds immense potential for enhancing robotic autonomy and operational efficiency. This presentation introduces a novel approach to address this paradigm through the development of a flexible dynamic Schottky direct-current (DC) generator, tailored explicitly for self-powered robotic tactile sensing and manipulation. This work represents a pioneering advancement in self-powered multimodal and multidirectional tactile sensing, which mimics the functionalities of slow-adapting (SA) and fast-adapting (FA) mechanoreceptors in human sensory systems. The new technology incorporates flexible Schottky junctions optimized for dynamic energy conversion, enabling seamless integration into robotic hand systems. Through detailed analyses and experimental validation, we demonstrate the adaptability, efficiency, and reliability of using dynamic DC generator for bio-inspired static and dynamic friction sensing, and the optimization of feedback loop control for slip detection and mitigation.