Another research work by Pera-Swarm, "Simultaneous Localization and Mapping with Cost Effective Sensors" was presented at the 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE) and has recently been published in IEEExplore.
Abstract
This paper explores the fascinating field of swarm robotics, where multiple robots collaborate to achieve tasks in a decentralized and distributed manner. The focus here is on the exploratory behavior of swarm robotics, including aggregation, dispersion, and collective movement. The system is represented as an occupancy grid problem, and heuristic-based algorithms are used as optimized solutions. The decentralized approach within those methods makes them easier to idealize with current swarm robotic applications. Furthermore, these algorithms can be seamlessly integrated with other current frontier-based exploration techniques to enhance robot cooperation. All these proposed methods have been tested in different simulation environments, which mimic real-world scenarios.