Mobile Robotics
[Open soon]
Work description
This work plan proposes the development of new approaches for the coordination of multi-agent systems, starting from a centralized fleet management platform based on graphs, already validated by the scientific community. In a first phase, the focus will be on increasing the robustness and coherence of the existing system, through the mitigation of blocking behaviors and the effects of communication latency between modules. Special attention will be given to temporal consistency between the supervisor and the planner, exploring state prediction mechanisms capable of reducing discrepancies between the actual state of the system and the state assumed during the decision-making process. Subsequently, a hybrid hierarchical architecture will be developed that combines global coordination mechanisms typical of centralized approaches with decentralized levels of control, allowing for simultaneous improvement in the scalability and responsiveness of the system. The proposal also includes the study of dynamic graph partitioning strategies into adaptive substructures, potentially supported by artificial intelligence methods, capable of reconfiguring themselves according to the state of traffic and interactions between agents. The challenges associated with the transition of agents between different regions of the system will be investigated, ensuring continuity and consistency in global coordination. Finally, a systematic evaluation will be carried out comparing the new hybrid architecture with the original centralized system, analyzing performance, stability, and scalability metrics in complex environments. Additionally, strategies inspired by collective intelligence and distributed heuristics will be explored, with the aim of increasing the system's efficiency and adaptability in highly complex real-world scenarios.
Academic Qualifications
Master's degree in Electrical and Computer Engineering, Computer Engineering, or related fields.
Minimum profile required
Experience in C/C++ programmingExperience with the ROS framework.
Preference factors
Experience working with mobile robots is valued. Participation in extracurricular activities related to robotics is valued.
Application Period
Since 21 May 2026 to 03 Jun 2026
[Open soon]
Centre
Robotics in Industry and Intelligent Systems