Design of a Hybrid Robot Control System using Memristor-Model and Ant-Inspired Based Information Transfer Protocols
This addresses the challenge of real-time information processing for robots, though it appears incremental as it combines existing concepts like ant-inspired behavior and memristor models.
The paper tackled the problem of robots being unable to process all sensor data in real-time by designing a hybrid control system that uses ant-inspired algorithms and memristor-based non-linearity to create quick and valid approximations of the robot's situation.
It is not always possible for a robot to process all the information from its sensors in a timely manner and thus quick and yet valid approximations of the robot's situation are needed. Here we design hybrid control for a robot within this limit using algorithms inspired by ant worker placement behaviour and based on memristor-based non-linearity.