*This is a HYBRID Event with in-person attendance in Levine 512 and virtual attendance via Zoom.
As aerial and space systems become ubiquitous, the challenges associated with coordinating large constellations
of autonomous agents become even more important, as these systems are both safety-critical and expensive. In this talk, we
will go through a few applications of Model Predictive Control (MPC) for load transportation and safe trajectory tracking of
time-varying trajectories. Then, we will expand on how MPC can be used with vision feedback from generalized onboard cameras
to achieve an efficient distributed formation control scheme. In particular, we will explore the geometric properties of these
imaging sensors to develop a framework (and Python library) for Visual Coordination of multi-agent systems. Results depicting
the usage of this framework in both simulation and experimental scenarios shed light on the main advantages of the proposed
method, as well as possible research directions to improve its performance.