INTRODUCTION
The intersection of robotics and the Internet of Things (IoT) is witnessing transformative innovations inspired by nature’s adaptability and efficiency [1], [2]. Such biomimetic strategies guide the development of robots for environmental monitoring and conservation [3] –[5]. A nascent yet promising innovation in this domain is the "Gastrobot," designed for operation in extreme conditions [6]. Originally, the Gastronome project laid the groundwork by using E. coli bacteria within microbial fuel cells (MFCs) to digest sugar [6]. Despite showing the potential to operate on biomass, it faced challenges in waste management and consistent fuel processing. Post-2001, the Gastrobot’s progress stalled, primarily due to power density constraints that limited practical applications [7]. The successful deployment of Gastrobots depends on a continuous biomass supply for MFCs, conducive growth conditions for bacteria, and effective waste management. However, the complexity of integrating biological processes for energy conversion has posed significant challenges [8] –[10].