Systems and methods for performing real-time multi-robot collaboration in dynamic environments are provided. A system may obtain sensor data of an environment of the robot, and generate tokenized sensor data from the sensor data. The system may input the tokenized sensor data into a robotics foundational model (RFM) associated with the robot causing the RFM to generate insight data used for making decisions associated with performing the mission. Generating the insight data includes generating one or more beliefs about the environment and generating one or more risk-reward maps indicating potential risks and/or a. The system implement a token sharing policy causing the robot to generate tokenized insight data and transmit the tokenized insight data to recipient robots of the robot fleet.

First and second movers can make communication with each other by means of a communication system in which a signal-receiving unit of the first mover receives from a satellite a signal indicative of a position coordinate of itself, a control unit of the first mover makes a pattern indicative of a position coordinate of the first mover, a display unit of the first mover displays the pattern, an image pickup unit of the second mover photographs the pattern, and a control unit of the second mover deciphers the thus photographed pattern to thereby control a position of the second mover in accordance with the thus deciphered pattern.