2016
On Stochastic Self-Assembly of Underwater Robots
RA-L 2016
We present a rule-based approach which incorporates a state machine in a novel manner to carry out self-assembly in underwater environments. The rules formulated along with the state machine govern the manner in which individual robots combine to generate shapes like a straight line, a `T' alphabet