Abstract
In this paper, the adaptation of multiple agents to actuation performance ariations under localization uncertainty is inestigated. The agents are modeled as nonholonomic wheeled mobile ehicles and Guaranteed Power Diagrams (GPD or GPD) are used in order the robots to partition the workspace under the assumption that the locations of the agents are known within uncertainty circles. An online adaptie estimation algorithm is used for each agent to calculate the weight of its GP-cell. So, the robots accomplish the coerage control to perform a collaboratie task by giing larger portions of the workspace to the agents that hae better actuation performances and smaller regions to the ones whose performances are worse than the other agents. Simulation results and ROS implementation show the effectieness of the algorithm.
Original language | English |
---|---|
Title of host publication | 2018 International Conference on Control and Robots, ICCR 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 11-18 |
Number of pages | 8 |
ISBN (Electronic) | 9781538682432 |
DOIs | |
Publication status | Published - 13 Nov 2018 |
Event | 2018 International Conference on Control and Robots, ICCR 2018 - Hong Kong, Hong Kong Duration: 15 Sept 2018 → 17 Sept 2018 |
Publication series
Name | 2018 International Conference on Control and Robots, ICCR 2018 |
---|
Conference
Conference | 2018 International Conference on Control and Robots, ICCR 2018 |
---|---|
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 15/09/18 → 17/09/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- actuation ariations
- coerage control
- guaranteed power oronoi diagrams
- workspace allocation