Designing robot learners that ask good questions

Programming new skills on a robot should take minimal time and effort. One approach to achieve this goal is to allow the robot to ask questions. This idea, called Active Learning, has recently caught a lot of attention in the robotics community. However, it has not been explored from a human-robot i...

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Bibliographic Details
Published in:2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 17 - 24
Main Authors: Cakmak, Maya, Thomaz, Andrea L.
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 05.03.2012
IEEE
Series:ACM Conferences
Subjects:
Active Learning
Computer systems organization > Embedded and cyber-physical systems > Robotics
Computing methodologies > Artificial intelligence > Control methods > Robotic planning
Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning
Green products
Human-centered computing > Human computer interaction (HCI)
Humans
Learning from Demonstration
Programming
Robots
Trajectory
USA Councils
Videos
active learning
learning from demonstration
ISBN:145031063X, 9781450310635
ISSN:2167-2121
Online Access:Get full text
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Summary:Programming new skills on a robot should take minimal time and effort. One approach to achieve this goal is to allow the robot to ask questions. This idea, called Active Learning, has recently caught a lot of attention in the robotics community. However, it has not been explored from a human-robot interaction perspective. In this paper, we identify three types of questions (label, demonstration and feature queries) and discuss how a robot can use these while learning new skills. Then, we present an experiment on human question asking which characterizes the extent to which humans use these question types. Finally, we evaluate the three question types within a human-robot teaching interaction. We investigate the ease with which different types of questions are answered and whether or not there is a general preference of one type of question over another. Based on our findings from both experiments we provide guidelines for designing question asking behaviors on a robot learner.
ISBN:145031063X
9781450310635
ISSN:2167-2121
DOI:10.1145/2157689.2157693