| KEYWORD |
Scheduling and coordination of multi-robot systems
keywords MULTI-AGENT SYSTEMS, OPTIMISATION, ROBOTICS, SCHEDULING ALGORITHMS
Reference persons ALESSANDRO RIZZO
External reference persons Ing. Giada Galati, Politecnico di Torino
Thesis type THEORETICAL AND SIMULATION
Description In the last decades, Multi-Robot Systems (MRS) have received significant attention due to their intrinsic advantages over Single-Robot Systems (SRS). First of all, the MRS is a parallel system, which has higher execution efficiency than SRS when executing tasks such as environment exploration, mapping, photography tasks and surveillance. Moreover, with a good coordination and communication, the MRS becomes an excellent candidate to exceed the capabilities of a single robot.
When several robots need to complete a common mission, the first problem is when to allocate which task to which robot, according to an optimality criterion, subject to constraints.
Thesis' goals:
- Study the state-of-the-art about the coordination/scheduling of multi-robot system;
- Select, program and solve optimization problems using one or more algorithms;
- Simulate the proposed solution in a simulation environment (preferably ROS)
Required skills -Basic knowledge about optimization and scheduling techniques;
-Basic knowledge of Python and ROS is preferred;
- Matlab and Simulink
Deadline 31/01/2022
PROPONI LA TUA CANDIDATURA