Annual Report 2002 - Ãrebro universitet
Annual Report 2002 - Ãrebro universitet
Annual Report 2002 - Ãrebro universitet
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<strong>Annual</strong> <strong>Report</strong> <strong>2002</strong> 59<br />
Project: Human-Robot Cooperation<br />
Project leader: Tom Duckett<br />
Project staff: Grzegorz Cielniak<br />
Funding: KK and Faculty funding.<br />
Cooperation: research visit by Grzegorz Cielniak to the AI Lab, University of Freiburg,<br />
Germany as a Marie Curie Fellow (Oct <strong>2002</strong> – Jan 2003), with Prof. Wolfram<br />
Burgard.<br />
Synopsis:<br />
The ability to interact with people is an important requirement for robots, which operate in<br />
populated environments. In tasks such as cleaning, housekeeping, rehabilitation, entertainment,<br />
inspection and surveillance, so-called service robots need to communicate and<br />
cooperate with people. To enable this interaction, the robot needs to know how many people<br />
there are in the neighbourhood, their position, and who they are (the three fundamental<br />
problems of recognition, tracking and identification). This project investigates embedded<br />
machine learning algorithms for robot-human cooperation. In current work, we are integrating<br />
different methods for recognition, tracking and identification of people by a mobile robot<br />
using vision and laser range-finder sensors. Possible themes for future research include<br />
recognition, interpretation and prediction of human behaviour; and development of natural<br />
language or gesture-based interfaces for communicating tasks to robots.<br />
Results in <strong>2002</strong>:<br />
- Experiments on human identification using vision.<br />
- Development of a learning system for recognizing, tracking and identifying several<br />
humans in an office environment using Abstract Hidden Markov Models (AHMMs),<br />
paper submitted to IJCAI’03.<br />
Future developments:<br />
- Scaling up of the AHMM system, and improved techniques for human identification, e.g.,<br />
incorporating face recognition, gait recognition, etc.<br />
- Development of a complete application “the Robotic Security Guard”, which should be<br />
capable of recognizing AASS members and tracking their movements, while raising the<br />
alarm if unauthorized persons enter the environment.<br />
- Licentiate thesis: expected 2003 (Grzegorz Cielniak)<br />
- PhD-thesis: expected 2005 (Grzegorz Cielniak)