Before revision:  A sparse Gaussian Process model is employed to represent the continuous-time trajectories of all robots as a limited number of states, which brings high computational efficiency due to the sparsity.
After revision:  A sparse Gaussian Process model is employed to represent the continuous-time trajectories of all robots as a limited number of states, which improves computational efficiency due to the sparsity.