  The work introduces a bio-inspired leader-follower system based on an
innovative mechanism proposed as software latching that aims to improve
collaboration and coordination between a leader agent and the associated
autonomous followers. The system utilizes software latching to establish
real-time communication and synchronization between the leader and followers. A
layered architecture is proposed, encompassing perception, decision-making, and
control modules. Challenges such as uncertainty, dynamic environments, and
communication latency are addressed using Deep learning and real-time data
processing pipelines. The follower robot is equipped with sensors and
communication modules that enable it to track and trace the agent of interest
or avoid obstacles. The followers track the leader and dynamically avoid
obstacles while maintaining a safe distance from it. The experimental results
demonstrate the proposed system's effectiveness, making it a promising solution
for achieving success in tasks that demand multi-robot systems capable of
navigating complex dynamic environments.
