Automatic selection of task spaces for imitation learning

By Manuel Mühlig, Michael Gienger, Jochen J. Steil, Christian Goerick. 2009

56 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Silvio Savarese
2. Li Fei-Fei
3. Jitendra Malik
4. Luc Van Gool
5. Xiaogang Wang
6. Trevor Darrell
7. Andrea Vedaldi
8. Dacheng Tao

In Control and Systems Engineering

1. Li Fei-Fei
2. Silvio Savarese
3. Danfei Xu
4. Ajay Mandlekar
5. Marc Toussaint
6. Nikolay Jetchev
7. Rui Wang
8. Chen Wang

In Human-Computer Interaction

1. Silvio Savarese
2. Li Fei-Fei
3. Ajay Mandlekar

Citations in the corpus

• Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control (2021, methodology): “The major difference between our method and these works is we are learning to localize the action attention directly from the broad vision space without the assumption of knowing the salient objects [25] or the ground truth positions [33].”
• Task Space Retrieval Using Inverse Feedback Control (2011, background): “(Muehlig et al., 2009; Billard et al., 2004) examine different task spaces for robot motions and select the best ones for reproducing different tasks.”