| Title |
Robomaze: Swarm Robotics And Coordinated Navigation In Smart City |
| ID_Doc |
46783 |
| Authors |
Song J.; Song A.; Zhang F. |
| Year |
2022 |
| Published |
2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 |
| DOI |
http://dx.doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00279 |
| Abstract |
Swarm robotics and coordinated navigation have many important applications in smart cities. For example, on the street, autonomous cars may coordinate with each other to optimize the routes and city traffic; in a building, multiple robots may allow the coordinated search of trapped people in the building after a fire or natural hazard. It is important to study how to design and optimize the coordinated search strategy in those complicated smart city environments. This paper introduces RoboMaze, a simulator for swarm robotics and coordinated navigation study, where the robots may communicate with each other and optimize their paths with the goal of completing the search in a minimum amount of time. RoboMaze has been implemented and demonstrated in multiple software and hardware platforms. It not only greatly facilitates the development and test of new algorithms, but also serves as a wonderful education and outreach tool for smart city awareness. © 2021 IEEE. |
| Author Keywords |
coordinated navigation; smart city; swarm robotics |
