Litcius/Paper detail

Making Robotics Swarm Flow More Smoothly: A Regular Virtual Tube Model

Pengda Mao, Quan Quan

20222022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)24 citationsDOI

Abstract

This paper proposes a model of a class of regular virtual tubes that can generate safe, feasible, and smooth space for a robotics swarm in an obstacle-dense environment, especially for a drone swarm based on the flocking model. The regular principles are first proposed, and the regular conditions are then formulated based on the principles. A method to obtain a regular virtual tube is also presented based on trajectory planning and regular conditions. The proposed method's effectiveness and robustness are comprehensively demonstrated in a simulation environment with random obstacles.

Topics & Concepts

Swarm roboticsSwarm behaviourRobustness (evolution)Flocking (texture)Artificial intelligenceComputer scienceRoboticsObstacleObstacle avoidanceRobotVirtual machineSimulationComputer visionMobile robotOperating systemBiochemistryGeneComposite materialLawMaterials sciencePolitical scienceChemistryDistributed Control Multi-Agent SystemsRobotic Path Planning AlgorithmsEvacuation and Crowd Dynamics