4 citations · 4 across the 5 of their papers we have counts for
10 papers
Multi-Agent Spatial Predictive Control with Application to Drone Flocking (Extended Version)
Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller +2
We introduce the novel concept of Spatial Predictive Control (SPC) to solve the following problem: given a collection of agents (e.g., drones) with positional low-level controllers…
A Distributed Simplex Architecture for Multi-Agent Systems
Usama Mehmood, Scott D. Stoller, Radu Grosu +3
We present Distributed Simplex Architecture (DSA), a new runtime assurance technique that provides safety guarantees for multi-agent systems (MASs). DSA is inspired by the Simplex…
Learning Distributed Controllers for V-Formation
Shouvik Roy, Usama Mehmood, Radu Grosu +3
We show how a high-performing, fully distributed and symmetric neural V-formation controller can be synthesized from a Centralized MPC (Model Predictive Control) controller using D…
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
Hongkai Chen, Nicola Paoletti, Scott A. Smolka +1
Even though model predictive control (MPC) is currently the main algorithm for insulin control in the artificial pancreas (AP), it usually requires complex online optimizations, wh…
V-Formation via Model Predictive Control
Radu Grosu, Anna Lukina, Scott A. Smolka +3
We present recent results that demonstrate the power of viewing the problem of V-formation in a flock of birds as one of Model Predictive Control (MPC). The V-formation-MPC marriag…
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers
Shouvik Roy, Usama Mehmood, Radu Grosu +3
We show how a distributed flocking controller can be synthesized using deep learning from a centralized controller which generates the trajectories of the flock. Our approach is ba…