Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
- 8 May 2020
- book chapter
- Published by Springer Nature in Springer Proceedings in Advanced Robotics
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- An Algorithmic Perspective on Imitation LearningPublished by Now Publishers ,2018
- Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov ModelIEEE Robotics and Automation Letters, 2016
- A tutorial on task-parameterized movement learning and retrievalIntelligent Service Robotics, 2015
- Dynamical Movement Primitives: Learning Attractor Models for Motor BehaviorsNeural Computation, 2013
- Learning and generalization of complex tasks from unstructured demonstrationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- A survey of robot learning from demonstrationRobotics and Autonomous Systems, 2008
- Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov ChainsThe International Journal of Robotics Research, 2008
- Modelling high-dimensional data by mixtures of factor analyzersComputational Statistics & Data Analysis, 2002
- Semi-tied covariance matrices for hidden Markov modelsIEEE Transactions on Speech and Audio Processing, 1999
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989