Task-Improving Robots
through Observation
and Learning
Robots are physical artifacts with a seamless
integration of perception, cognition, and action. My presentation will be
focused on learning robots performing tasks in non-stationary domains. Robots
need to jointly assess the state of their environment, communicate with each
other, make decisions, execute actions towards the achievement of team objectives,
and learn from observation and feedback based on the outcome of their actions.