Single assembly robot in search of human partner: Versatile grounded language generation

• Main Authors: Knepper, Ross A. (Contributor), Tellex, Stefanie (Contributor), Li, Adrian (Author), Roy, Nicholas (Contributor), Rus, Daniela L. (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-04-24T16:51:53Z.
• Subjects: Article
• Online Access: Get fulltext

 We describe an approach for enabling robots to recover from failures by asking for help from a human partner. For example, if a robot fails to grasp a needed part during a furniture assembly task, it might ask a human partner to "Please hand me the white table leg near you." After receiving the part from the human, the robot can recover from its grasp failure and continue the task autonomously. This paper describes an approach for enabling a robot to automatically generate a targeted natural language request for help from a human partner. The robot generates a natural language description of its need by minimizing the entropy of the command with respect to its model of language understanding for the human partner, a novel approach to grounded language generation. Our long-term goal is to compare targeted requests for help to more open-ended requests where the robot simply asks "Help me," demonstrating that targeted requests are more easily understood by human partners.