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» Gaussian Process Dynamical Models for Human Motion
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NIPS
2008
15 years 5 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
106
Voted
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 2 months ago
HRP-2 plays the yoyo: From human to humanoid yoyo playing using optimal control
— Yoyo playing may seem easy for a human, but it is a challenging problem for a humanoid robot. This paper presents an approach to generate yoyo motions for the humanoid robot, H...
Katja Mombaur, Manish N. Sreenivasa
127
Voted
HRI
2006
ACM
15 years 10 months ago
A model for imitating human reaching movements
We present a model of human-like reaching movements. This model is then used to give a humanoid robot the ability to imitate human reaching motions. It illustrates that having a r...
Micha Hersch, Aude Billard
113
Voted
HCI
2007
15 years 5 months ago
Modeling Human Bipedal Navigation in a Dynamic Three Dimensional Virtual Environment
The current research sought to construct a computational model of human navigation for virtual three dimensional environments. The model was implemented within the ACT-R cognitive ...
Mark D. Thomas, Daniel W. Carruth, Bryan Robbins, ...
153
Voted
CGI
2001
IEEE
15 years 7 months ago
An Inverse Kinematics Method Based on Muscle Dynamics
Inverse kinmatics is one of the most popular method in computer graphics to control 3D multi-joint characters. In this paper, we propose an inverse kinematics algorithm that takes...
Taku Komura, Yoshihisa Shinagawa, Tosiyasu L. Kuni...