Combining Dynamical Systems control and programming by demonstration for teaching discrete bimanual coordination tasks to a humanoid robot
By Elena Gribovskaya, Aude Gemma Billard. 2008
56 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Ana Lucia Pais
- Abhinav Kumar Gupta
- Saurabh Gupta
- Shubham Tulsiani
- Rohan Chitnis
- Danica Kragic
- Aude Gemma Billard
- Dimos V. Dimarogonas
In Cognitive Neuroscience
- Danica Kragic
- Abhinav Kumar Gupta
- Aude Gemma Billard
- Saurabh Gupta
- Shubham Tulsiani
- Rohan Chitnis
- Ana Lucia Pais
- Alexei A. Efros
In Control and Systems Engineering
- Saurabh Gupta
- Abhinav Kumar Gupta
- Danica Kragic
- Sergey Levine
- Aude Gemma Billard
- Ana Lucia Pais
- Shubham Tulsiani
- Rohan Chitnis
Citations in the corpus
- Constraints extraction from asymmetrical bimanual tasks and their use in coordinated behavior (2018, background): “In reference [9] the authors extract stable postures by analyzing the rate of change in the demonstrations.”
- Intrinsic Motivation for Encouraging Synergistic Behavior (2020, background): “On the other hand, learning-based strategies for this task often leverage human demonstrations to circumvent the challenge of exploration (Zollner et al., 2004; Gribovskaya & Billard, 2008; Kroemer et al., 2015).”
- Dual arm manipulation - A survey (2012, background): “In [105], a framework is presented that aims at teaching a bimanual coordination task to a robot.”
- Efficient Bimanual Manipulation Using Learned Task Schemas (2019, methodology): “cal control settings [25], and often rely on hybrid force-position control strategies to guide both manipulators [26], [27]. These tasks have also been addressed via learning from demonstration [28], [29], [30]. In our work, we do not rely on demonstrations, and we are able to learn control policies”