Understanding robot locomotion characteristics and planning in heterogeneous multi-robot coverage

To be safe and efficient, autonomous robots will need to consider and understand one another when performing their respective tasks. Communication and joint planning between robots might not be possible due to the number of robots, adversarial behaviors, or the lack of common protocol.
In this project, we start by tackling this large issue at a small scale by focusing on a specific situation: multi-robot coverage with heterogeneous robots. We consider a team of robots that have to be deployed to cover a large scale environment. Each robot has different locomotion characteristics but they all share a common objective: for the team to cover the whole area as efficiently as possible.
The idea of this work is for each robot to use visual information to gather a semantic understanding of other robots’ characteristics and of the environment. TO BE CONT’D

Faculty Supervisor:

Giovanni Beltrame

Student:

Partner:

Stanford University

Discipline:

Engineering

Sector:

Education

University:

Polytechnique Montréal

Program: