A multi-robot simulator for the evaluation of formation control algorithms
Open Access
- 1 September 2019
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 79-84
Abstract
Autonomous/unmanned driving has the capability to provide numerous benefits such as better traffic management, increased safety, reduced emission, and enhanced transportation network. Once autonomous ground vehicles (AGVs) are deployed, they will have to interact with other such vehicles. Interaction between multiple AGVs is an important area of research where analysis on the performance of algorithms/control schemes of AGVs is carried out. Performing real-world experiments with teams of autonomous vehicles is a challenging task due to cost and complexity. On the other hand, a simulation can emulate reality and provide an inexpensive and less time-consuming development process compared to the real world robots’ testing. Therefore, a simulation tool is developed for multi-robot navigation. This simulator is based on open-source Robot Operating Systems (ROS) and natively supported robotics simulator Gazebo.Keywords
This publication has 16 references indexed in Scilit:
- Building a ROS-Based Testbed for Realistic Multi-Robot Simulation: Taking the Exploration as an ExampleRobotics, 2017
- An optimization approach to trajectory generation for autonomous vehicle following2017
- Distributed graph-based control of convoys of heterogeneous vehicles using curvilinear road coordinates2016
- A survey of development frameworks for robotics2016
- UUV Simulator: A Gazebo-based package for underwater intervention and multi-robot simulation2016
- Distributed graph-based convoy control for networked intelligent vehicles2015
- Adaptive leader‐follower formation control of non‐holonomic mobile robots using active visionIET Control Theory & Applications, 2015
- A survey of AUV and robot simulators for multi-vehicle operations2014
- Vehicle Platooning: A Brief Survey and Categorization2011
- Autonomous following lateral control of heavy vehicles using laser scanning radar2001