Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  address the optimal dynamic formation problem in mobile leader-follor networks where an optimal formation is generated to maximize a given objective function while continuously preserving connectivity.  show that in a convex mission space, the connectivity constraints can be satisfied by any feasible solution to a mixed integer nonlinear optimization problem. When the optimal formation objective is to maximize coverage in a mission space cluttered with obstacles,  separate the process into intervals with no obstacles detected and intervals where one or more obstacles are detected. In the latter case,  propose a minimum-effort reconfiguration approach for the formation which still optimizes the objective function while avoiding the obstacles and ensuring connectivity.  include simulation results illustrating this dynamic formation process.
['Xinmiao Sun', 'Christos G. Cassandras']
I am writing a research paper on a idea Optimal dynamic formation control of multi-agent systems in environments with obstacles
[{"from": "human", "value": "I am writing a research paper on a idea Optimal dynamic formation control of multi-agent systems in environments with obstacles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  address the optimal dynamic formation problem in mobile leader-follor networks where an optimal formation is generated to maximize a given objective function while continuously preserving connectivity.  show that in a convex mission space, the connectivity constraints can be satisfied by any feasible solution to a mixed integer nonlinear optimization problem. When the optimal formation objective is to maximize coverage in a mission space cluttered with obstacles,  separate the process into intervals with no obstacles detected and intervals where one or more obstacles are detected. In the latter case,  propose a minimum-effort reconfiguration approach for the formation which still optimizes the objective function while avoiding the obstacles and ensuring connectivity.  include simulation results illustrating this dynamic formation process."}]