RALLI
Robotic Action-Language Learning through Interaction

Future social robots will need the ability to acquire new tasks and behaviours on the job both through observation and through natural language instruction, for robot designers cannot build in all environmental and task contingencies. In this project, we tackle the critical subproblem of learning new actions and their corresponding words by the artificial system observing how those actions are performed and expressed by humans. Inspired from psychological studies, we develop experimentation-based algorithms for word learning, integrated with natural language understanding and generation.

Research staff

• Stephanie Gross
• Brigitte Krenn
• Martin Trapp
• Friedrich Neubarth

Partners

• Automation and Control Institute (ACIN) – Vision for Robotics Group, TU Wien
• Human Robot Interaction Laboratory (HRI Lab), Tufts University

Sponsor