Networked Mobile Robot Systems
JProf. Fang-JIng Wu is responsible for the lecture for the summer semesters of 2018, 2019, 2020, 2021, 2022, and 2023.
Please register via the LSF system which will be automatically synchronized with the Moodle system.
Goals of the Lecture
The course introduces concepts, methods and the performance evaluation of wireless networking, distributed problem solving, cooperative algorithms and swarm-based behavior to accomplish easy deployment and appropriate mission scheduling for networked robotics systems.
Concept of Operations
Definitions, Impact and History of Networked Robot Systems, Robot Systems, Use Cases, Business Cases
Information & Communication Technologies
Mobile Radio Networks, Robust Mesh/Relay Communication Protocols, fast handovers, real-time requirements
Self-learning, controlled mobility, autonomous behavior and learning, distributed systems
Decentralized Mission Scheduling & Task Distribution
Algorithms for strategic goal and tactical task management, autonomous agents, role models, role switching, allocation of tasks and responsibilities, task vs. communication performance
Event-Driven Simulation, random generators, system models
(channel, mobility, protocols), statistical relevance, experiments, analytical modeling
(Markov state models)
Slides of all lectures will be supplied online.
The final exam will be an oral exam.
We assume that the participants have basic knowledge of mathematical modeling. A basic understanding of fundamental control concepts and distributes systems is helpful but not mandatory