Mobile Telepresence Robotics for Everyday tasks

  • Mobile Telepresence Robotics for Everyday tasks
EEECS Summer Research Internships 2018

Proposed Project Title:

  • Mobile Telepresence Robotics for Everyday tasks

Principal Supervisor(s):
  • John Bustard


Project Description:

Existing research in robotics has demonstrated that expensive personal robots are capable of everyday household activities when controlled via telepresence (Such as the PR1[1]).

This has inspired many to focus on developing ai robotic control algorithms, however currently such robots remain impractical in terms of cost. Even research is limited due to the cost of such devices, in particular, there are no open hardware robotic platforms for enthusiasts to experiment with as there are for related fields like machine learning.

The goal of this project is to further develop our work on an affordable mobile robot capable of performing everyday activities such as tidying up, cooking meals and gardening.

Our ultimate aim is to develop 2 or more reproducible baseline robots so we can run a yearly robotics competition where multiple teams remotely control mobile robots to compete in the "everyday robot olympics" where teams refine robot designs, end affectors and software control in order to perform tasks faster and with higher quality.


Objectives:

The specific goal of this project is to convert a power chair (joystick controlled wheelchair) to computer control and mount our current robot arm design to it so that an affordable "bomb disposal" style robot can be used as the basis for this competition. 

Time permited the student may also, refine arm design, tool changing mechanism, sensing capabilities and telepresence software to make the system capable of some practical activities.


Academic Requirements:

The scheme is open to all EEECS Undergraduates (apart from students on the BIT degree pathway and students who are due to graduate this summer)

This project is best suited to a student with sufficient electonics knowledge that they can modify a powered wheel chair to be controlled by a computer platform such as a raspberry pi. Any mechanical engineering or robotics design experience is an advantage (such as from developing your own 3d printer or CNC machine for example).


General Information:

Each internship will last between 6-8 weeks and will pay a weekly stipend of £250.

Accommodation and travel costs are not provided under this scheme.

Start date: (Flexible based on student availability provided the project is complete before the start of term)

Duration:  8 (Weeks)

Location: Computer Science Building (IoT Lab)

Further information available at: http://www.qub.ac.uk/schools/eeecs/Research/


Contact details:

Supervisor Name: John Bustard
Address:

Queens University of Belfast
School of EEECS,
Computer Science Building,
18 Malone Road,
Belfast
BT9 5BN

Email: j.bustard@qub.ac.uk

For further information on Research Area click on link below:

[1] https://www.youtube.com/watch?v=TyOooJC_bLY&t=638s&ab_channel=TheArtificialIntelligenceChannel