CL Liu, ILD Ridgley, ML Elwin… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Human-swarm interaction is facilitated by a low-dimensional encoding of the swarm formation, independent of the (possibly large) number of robots. We propose using image …
We describe SH-SVL, a parameterized family of first-order distributed optimization algorithms that enable a network of agents to collaboratively calculate a decision variable …
RA Freeman - 2022 58th Annual Allerton Conference on …, 2022 - ieeexplore.ieee.org
Distributed convex optimization algorithms employ a variety of methods for achieving exact convergence to the global optimal value (modulo numerical precision): some use time …
The field of distributed optimization algorithms is wide and growing, and new techniques for categorizing and analyzing existing algorithms are continually being developed. In this …
HW Abrahamson, E Wei - 2023 62nd IEEE Conference on …, 2023 - ieeexplore.ieee.org
In distributed problems where consensus between agents is required but average consensus is not desired, it can be necessary for each agent to know not only the data of …
Multi-agent systems have been largely used over decades to model and study groups of interconnected independent entities acting together, most often collaboratively, towards …