Language-mediated multi-robot coordination represents goals, actions and status in messages that robot reasoning systems can interpret. It can let heterogeneous robots collaborate without sharing one low-level control policy.
Language makes coordination flexible, but ambiguous wording can create inconsistent plans. Reliable systems constrain message formats, ground references in shared environment state and confirm responsibility before physical execution.
ELI5
Language-mediated multi-robot coordination lets robots use clear messages to divide a shared job. Each robot can announce what it plans to do, report progress and hand work to another robot without needing the same internal control system.
For example, in a warehouse one robot can say it will collect a package while another reserves the delivery route. The messages need agreed meanings and confirmations so two robots do not choose the same task or act on an unclear instruction.
