Autonomous line follower robot controlled by cell culture
Sayan Biswas

TL;DR
This paper presents an autonomous line follower robot controlled by a neuro-electronic hybrid system, integrating biological cell cultures with electronic circuits to enhance autonomous navigation capabilities.
Contribution
It introduces a novel hybrid architecture where biological cell cultures directly influence robot control, merging biological computing with robotics for the first time.
Findings
Successful implementation of biological control signals for robot navigation
Demonstrated potential for biological-electronic hybrid systems in autonomous robotics
Provides a foundation for future bio-inspired computing architectures
Abstract
Neuro-electronic hybrid promises to bring up a model architecture for computing. Such computing architecture could help to bring the power of biological connection and electronic circuits together for better computing paradigm. Such paradigms for solving real world tasks with higher accuracy is on demand now. A robot as a autonomous system is modeled here to navigate following a particular line. Sensory inputs from robot is directed as input to the cell culture in response to which motor commands are generated from the culture.
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Taxonomy
TopicsNeuroscience and Neural Engineering · Advanced Memory and Neural Computing · Neural dynamics and brain function
