Humanoid Robot's Autonomous Acquisition of Proto-Symbols through Motion Segmentation

By Wataru Takano, Yoshihiko Nakamura. 2006

93 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Social Psychology

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. German Ignacio Parisi
2. Stefan Wermter
3. Luiza Mici
4. Michael Beetz
5. Dana Kulic
6. Yoshihiko Nakamura
7. Wataru Takano
8. Aude Gemma Billard

In Control and Systems Engineering

1. German Ignacio Parisi
2. Luiza Mici
3. Michael Beetz
4. Stefan Wermter
5. Dana Kulic
6. Yoshihiko Nakamura
7. Gordon Cheng
8. Wataru Takano

In Social Psychology

1. German Ignacio Parisi
2. Michael Beetz
3. Dana Kulic
4. Wataru Takano
5. Stefan Wermter
6. Luiza Mici
7. Yoshihiko Nakamura
8. Gordon Cheng

Citations in the corpus

• An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction (2017, background): “A number of other works have also adapted HMMs to the problem of incremental learning of human motion [31]–[34].”
• Bootstrapping humanoid robot skills by extracting semantic representations of human-like activities from virtual reality (2014, methodology): “using Conditional Random Fields (CRF) [15], Dynamic Time Warping [16], or by encoding the observed trajectories using Hidden Markov Models (HMMs) mimesis model [17].”
• Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains (2008, background): “Takano and Nakamura (2006) develop a system for automated segmentation, recognition, and generation of human motions based on HMMs.”