Decentralized multi-robots navigation using PO-RRT and adaptive P2P communication

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dc.contributor.advisorAlmusawi, Husam
dc.contributor.authorAhmed, Abdelrahman
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-09-04T16:01:26Z
dc.date.available2025-09-04T16:01:26Z
dc.date.created2024
dc.description.abstractThe thesis focuses on decentralized multi-robot navigation, leveraging the Path-Optimized Rapidly-Exploring Random Tree (PO-RRT) algorithm to enhance path planning by minimizing path lengths and improving efficiency. It addresses limitations in traditional path planning algorithms by incorporating optimization techniques that consider robot dynamics and environmental constraints. Furthermore, it tackles the inefficiencies and risks of centralized communication models, such as latency and single points of failure, by adopting a decentralized peer-to-peer communication approach using Wi-Fi Direct. This setup enables robots to communicate directly, facilitating real-time coordination. This thesis integrates the PO-RRT algorithm with advanced communication protocols and sensor systems, including Raspberry Pi controllers, ultrasonic sensors, and LiDAR, for effective navigation in dynamic environments. Simulation results in MATLAB demonstrate the system's ability to generate optimized paths in various scenarios and environments, validating its performance against other algorithms such as RRT*, BI-RRT, and PRM. Comparative analyses highlight PO-RRT's superiority in creating shorter paths, enhancing multi-robot coordination, and reducing computational overhead.
dc.description.courseMechatronikai mérnöki
dc.description.degreeBSc/BA
dc.format.extent84
dc.identifier.urihttps://hdl.handle.net/2437/397282
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectpath planning
dc.subjectRRT
dc.subjectmulti-robot system
dc.subject.dspaceMűszaki tudományok
dc.titleDecentralized multi-robots navigation using PO-RRT and adaptive P2P communication
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