Distributed Positioning and Formation Management Techniques in a Swarm of Robots

In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors.

Specifically, the objective of this project is twofold:
1. Develop a robust and computationally efficient positioning solution in the presence of a heterogeneous team of robots. The ultimate goal is to use all the robot’s onboard sensors to design a positioning system that can automatically adapt to the available measurements.
2. Plan trajectories for the multi-agent system such that the agents are driven around a team leader.

To meet the above objectives, Bayesian theory-based techniques will be used to design a reliable sensor fusion algorithm for positioning in the multi-agent system.

Faculty Supervisor:

Walter Lucia

Student:

Partner:

University of Calabria

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program: