SOURCE-LINKED INTELLIGENCE
Schrödinger Bridges over Kinetic Swarming Models
Paradigmatic interaction models explain how collective behaviors can emerge in complex systems from interactions among the constituent agents. In bio-inspired swarms, however, interactions alone may not suffice to bring the population to a desired aggregate configuration within a prescribed time horizon, as needed in applications ranging from targeted therapy to collective transport and emergency evacuation. In the present work, we consider finite-horizon minimum-energy collective steering for inertial swarms that are subject to stochastic disturbances. We focus on the mean-field representatio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T01:34:36.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.