Abstract
The main goal of swarm robotics is to control a large number of robots that interact together without a central controller. Swarm systems have a broad range of application areas, including the exploration and monitoring of extreme environments. This paper proposes a new approach to the coordination of a leader-follower system for use by a swarm of surface robots that are focused on the exploration of an unknown environment. The leader robot is controlled semi-autonomously by receiving a trajectory from a user and the swarm followers are then coordinated by a bio-inspired collective motion adapted from the state-of-the-art model, Active Elastic Sheet. To implement the proposed swarm controller, an open-source simulation platform, Gazebo, was used where the leader and follower robots, as well as a pond containing water, were simulated. The results demonstrate the feasibility of using the proposed swarm system in exploration applications.
Original language | English |
---|---|
Pages | 26–37 |
Number of pages | 8 |
Publication status | Published - 8 Jul 2023 |
Event | The Fourteenth International Conference on Swarm Intelligence (ICSI'2023) - Shenzhen, China Duration: 14 Jul 2023 → 18 Aug 2023 https://iasei.org/icsi2023/ |
Conference
Conference | The Fourteenth International Conference on Swarm Intelligence (ICSI'2023) |
---|---|
Country/Territory | China |
City | Shenzhen |
Period | 14/07/23 → 18/08/23 |
Internet address |
Keywords
- Collective Motion
- Swarm Robotic
- Autonomous System
- Exploration