Insect-inspired Visually-guided Decentralized Swarming

06/24/2022
by   Mehdi Yadipour, et al.
0

This paper addresses the need for fast, lightweight, vision-guided swarming under limited computation and no explicit communication network or position source. The study develops a multi-agent optic flow sensing framework, then integrates perfect information distributed feedback with optic flow sensing to create an analogous visually-guided feedback path for idealized inter-agent velocity and distance structures. The Cucker-Smale flocking example is used to develop vision-guided swarming with rigorous asymptotic convergence guarantees, including under ignorance of agent size.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8

research
01/21/2023

Decentralized Multi-agent Filtering

This paper addresses the considerations that comes along with adopting d...
research
05/09/2021

Improving Multi-agent Coordination by Learning to Estimate Contention

We present a multi-agent learning algorithm, ALMA-Learning, for efficien...
research
02/26/2021

Collisionless and Decentralized Formation Control for Strings

A decentralized feedback controller for multi-agent systems, inspired by...
research
07/20/2017

Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach

Learning cooperative policies for multi-agent systems is often challenge...
research
07/08/2023

MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction

We propose MAP-NBV, a prediction-guided active algorithm for 3D reconstr...
research
02/14/2018

CIRFE: A Distributed Random Fields Estimator

This paper presents a communication efficient distributed algorithm, CIR...
research
03/13/2017

Guetzli: Perceptually Guided JPEG Encoder

Guetzli is a new JPEG encoder that aims to produce visually indistinguis...

Please sign up or login with your details

Forgot password? Click here to reset