Dynamic hebbian learning in adaptive frequency oscillators
By Ludovic Righetti, Jonas Buchli, Auke Jan Ijspeert. 2006
401 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/262072baf57017b9a506eef59f751778cc3f8817
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- J. Urgen Schmidhuber
- Seyed Mohammad Khansari-Zadeh
- Aude Gemma Billard
- Auke Jan Ijspeert
- K. Zadeh
- Seyed Mohammad
- Faustino J. Gomez
- Ales Ude
In Computer Networks and Communications
- Auke Jan Ijspeert
- Aude Gemma Billard
- Seyed Mohammad Khansari-Zadeh
- Ludovic Righetti
- J. Urgen Schmidhuber
- Faustino J. Gomez
- Daan Wierstra
- Jun Morimoto
In Control and Systems Engineering
- Aude Gemma Billard
- Seyed Mohammad Khansari-Zadeh
- Jan Peters
- Sergey Levine
- K. Zadeh
- Seyed Mohammad
- Pieter Abbeel
- J. Urgen Schmidhuber
Citations in the corpus
- Programmable central pattern generators: an application to biped locomotion control (2006, methodology): “1) Adaptive frequency Hopf oscillator: Our CPG architecture is made of coupled adaptive frequency Hopf oscillators, which are modified Hopf oscillators that we developed in [6], [7].”
- Evolino for recurrent support vector machines (2005, background): “In [16], a pre-wired network of oscillators inspired by [17] learns the components of a such a function, but its performance degrades for closer frequencies.”
- Learning control Lyapunov function to ensure stability of dynamical system-based robot reaching motions (2014, methodology): “During the last decade, DS has been used to model discrete motions [6, 7, 29, 30], rhythmic motions [31, 32], hitting motions [33, 34, 7], obstacle avoidance [35, 36, 37], etc.”
- A Dynamical System-based Approach to Modeling Stable Robot Control Policies via Imitation Learning (2012, background): “, 2010), rhythmic motions (Schaal et al., 2004; Ijspeert et al., 2002b; Righetti et al., 2006; Rochat et al., 2011), hitting motions (Calinon, Sauser, et al.”
- Central pattern generators for locomotion control in animals and robots: A review (2008, methodology): “We have developed such a method in (Buchli, Iida, & Ijspeert, 2006) using adaptive frequency oscillators (Righetti et al., 2006), and related work can be found in (Nishii, 1998, 1999).”
- Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives (2010, background): “place (30), shown later, with the system of adaptive frequency oscillators [43], [44] (see also Appendix B) to automatically determine the frequency during demonstration.”
- Review of assistive strategies in powered lower-limb orthoses and exoskeletons (2015, background): “[53], in order to synchronize with the instantaneous frequency and phase of any periodic input signal.”
- Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review (2021, methodology): “An adaptive oscillator (AO) is a frequency domain method that can synchronize to any periodic or pseudo-periodic input signal without any preprocessing [78].”