Abstract—This study investigates the behavior and performance of Cyborg Insect Swarms operating under a decentralized control mechanism. Cyborg insects, which integrate living insects with miniature electronic controllers, represent an innovative approach in swarm robotics, combining biological capabilities with artificial control systems. We utilized the Multi-agent Robot Swarm Simulation (MARSS) platform to model and analyze the dynamics of these hybrid entities in various simulated environments and scenarios. The research aimed to understand how cyborg insect swarms perform compared to traditional robotic swarms, particularly in terms of adaptability, efficiency, and coordination in complex tasks. We conducted extensive simulations replicating diverse environmental conditions and task requirements to assess swarm behavior, inter-agent communication, and overall swarm efficiency. The study focused on key performance metrics including task completion time, energy efficiency, and adaptability to unexpected obstacles or changing objectives. Results demonstrated that cyborg insect swarms exhibited enhanced flexibility and adaptability in complex and dynamic environments, effectively leveraging the natural sensory capabilities and agility of insects. The bio-hybrid nature of the swarm allowed for more nuanced responses to environmental stimuli compared to fully artificial systems. However, the research also revealed challenges unique to cyborg swarms, particularly in maintaining consistent swarm behavior due to the inherent biological variability among individual insects. Despite these challenges, the study highlighted potential advantages of cyborg insect swarms in applications such as environmental monitoring, disaster response, and search-and-rescue operations. These findings contribute significantly to the emerging field of bio-hybrid systems and provide valuable insights into the practical implementation and potential real-world applications of cyborg insect swarms.

Keywords—cyborg insect swarm, bio-hybrid systems, decentralized control, swarm robotics, multi-agent simulation, Multi-agent Robot Swarm Simulation (MARSS) platform, swarm behavior, adaptive control

Cite: Le Minh Triet and Nguyen Truong Thinh, "Modeling of Cyborg-Cockroach Swarm Using Agent-Based Simulation," International Journal of Mechanical Engineering and Robotics Research, Vol. 14, No. 3, pp. 282-298, 2025. doi: 10.18178/ijmerr.14.3.282-298

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).