TOPICS FOR MASTER AND/OR DOCTORAL THESIS
PROJECT SUGGESTIONS USING ROBOTS AT IOC
The Institute of Cybernetics has some robots that may be used for project work.
- Khepera: http://www.k-team.com/robots/khepera/
- Pioneer: http://www.activrobots.com/ROBOTS/p2dx.html
- Lego: http://mindstorms.lego.com/eng/products/ris/
Here are some project suggestions. I am also open to suggestions from students, especially projects that aim to reproduce results obtained with Khepera, Pioneer or Lego robots at other Universities. I would expect students to prepare and submit a conference paper describing their work. Successful project work may lead to PhD work, abroad or here in Estonia.
For further details or to arrange a meeting, please mail me, Adam Eppendahl, at ae@cs.ioc.ee.
Title: Focusing Occupancy Models
Robots: Khepera, Pioneer.
Background: Work by Hakim Miah in London.Aim: Determine the prospects for parameter recovery by model focusing.
Objectives: Reproduce Miah's results with a 1d camera on the Khepera, and then with a 2d camera on the Pioneer. Automate the focusing.
Demo: Robot navigates successfully without prior knowledge of camera and drive parameters.
Title: Combined Feature/Occupancy Models for Robot Vision.
Robots: Khepera, Pioneer.
Background: Work by Hakim Miah in London and the Vision Group in Oxford.Aim: Integrate the complementary strengths of feature and occupancy based models.
Objectives: Reproduce feature based model construction with a 1d camera on the Khepera (or with a 2d camera on the Pioneer if necessary). Extend with the feature model with occupancy information. Produce a simple mathematical and programming framework for combined models.
Demo: Robot performs feature based tasks using occupancy information, and vise versa.
Title: Seeing Empty Space
Robots: Khepera, Pioneer
Background: ?Aim: Use an occupancy model to detect empty space and avoid collisions in real-time.
Objectives: Program the Khepera to build a map of empty space using an occupancy model. Establish the speed limits for a Khepera building and using such a map. Reproduce these results on the Pioneer.
Demo: Robot drives about faster and faster without bumping into anything.
Title: Learning in the Presence of Irreversible Actions
Robots: Pioneer, Lego.
Background: Work by Maarja Kruusmaa in Sweden (now in Tartu).Aim: Demonstrate the significance of irreversible actions in the performance of learning algorithms.
Objectives: Reproduce the results Kruusmaa obtained in simulation on the pioneer. Obtain similar results a variety of Lego robots.
Demo: Robot preforms a series of tasks in a cautious way.
Title: Exploring Reversibility Space
Robots: Khepera, Lego.
Background: ?Aim: Establish the feasibility of mapping a robot's space of reversible actions.
Objectives: Program the Khepera to make a simple map of its reversibility space. Test the same algorithm on a variety of Lego robots.
Demo: Robot makes a series of larger and larger movements checking that each can be reversed.
Title: Abstract Motivation Principles
Robots: Lego.
Background: Work by Frederic Kaplan in Paris.Aim: Adapt the use of abstract motivational principles to a small processor.
Objectives: Reproduce the results Kaplan obtained on the Aibo on a simple Lego robot. Obtain similar results with a motivational principle based on reversibility.
Demo: Robot develops coherent movements without prior knowledge of its body or environment.