Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
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Title
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
Volume 36, Issue 13-14, Pages 1595-1618
Publisher
SAGE Publications
Online
2017-11-24
DOI
10.1177/0278364917743319
References
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Related references
Note: Only part of the references are listed.- Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis
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- Surgical gesture classification from video and kinematic data
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- (2010) Sylvain Calinon et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
- Learning Actions from Observations
- (2010) Volker Kruger et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
- Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
- (2010) Aleš Ude et al. IEEE Transactions on Robotics
- Online Segmentation and Clustering From Continuous Observation of Whole Body Motions
- (2009) Dana Kulic et al. IEEE Transactions on Robotics
- IMITATION LEARNING OF DUAL-ARM MANIPULATION TASKS IN HUMANOID ROBOTS
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