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Teaching Human Teachers to Teach Robot Learners
- Source :
- ICRA, King's College London, Sena, A, Zhao, Y & Howard, M J W 2018, Teaching Human Teachers to Teach Robot Learners . in International Conference on Robotics and Automation (ICRA) .
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Using Programming by Demonstration to teach robot learners generalisable skills relies on having effective human teachers. This paper aims to address two problems commonly observed in demonstration data sets that arise due to poor teaching strategies; undemonstrated states and ambiguous demonstrations. Overcoming these issues through the use of visual feedback and simple heuristic rules is investigated as a potential way of guiding novice users to more effectively teach robot learners to generalise a task. The proposed method intends to offer the user a more transparent understanding of the robot learner's model state during the teaching phase, to create a more interactive and robust teaching process. Results from a single-factor, three-phase repeated measures study with $\mathbf{n}=\mathbf{30}$ participants, comparing the proposed feedback and heuristic rules set against an unguided condition, show a statistically significant $(\mathbf{F}(\mathbf{2},\mathbf{58})=\mathbf{7.952},\mathbf{p}=\mathbf{0.001})$ improvement of user teaching efficiency of approximately 180% when using the proposed feedback visualisation.
- Subjects :
- 0209 industrial biotechnology
Computer science
Learning from demonstration
02 engineering and technology
Human–robot interaction
Task (project management)
Visualisation
Machine Learning
Gaussian Mixture Model
020901 industrial engineering & automation
Human–computer interaction
ComputingMilieux_COMPUTERSANDEDUCATION
0202 electrical engineering, electronic engineering, information engineering
Training
Programming by Demonstration
Set (psychology)
Visualization
business.industry
Heuristic
Teaching
Programming by demonstration
Robotics
Human Robot Interaction
Task analysis
Robot
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Robotics and Automation (ICRA)
- Accession number :
- edsair.doi.dedup.....060b1017e8911e6d2592766e5d236163