Invited Talk at Ingenuity Labs
I recently had the pleasure of presenting our work at the 2026 Ingenuity Labs Research Institute Multi-robots Workshop. We explored a central theme across our research: when integrated within a control-theoretic framework, machine learning can enhance the performance of physical systems while preserving formal guarantees of stability and robustness. Specifically, we discussed how the swarm embeddings proposed in our recent work can be reframed as equilibrium manifolds to ensure swarms can maintain coherence and stability while learning to adapt to their environment. ...