A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …
A deep learning approach for distributed aggregative optimization with users' Feedback
R Brumali, G Carnevale… - 6th Annual Learning for …, 2024 - proceedings.mlr.press
We propose a novel distributed data-driven scheme for online aggregative optimization, ie,
the framework in which agents in a network aim to cooperatively minimize the sum of local …
the framework in which agents in a network aim to cooperatively minimize the sum of local …
[PDF][PDF] DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
YKCOJ Hwang, WKS Oh, YLH Sharma… - jongse-park.github.io
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …