Stochastic gesture production and recognition model for a humanoid robot
Robot programming by demonstration (PbD) aims at developing adaptive and robust
controllers to enable the robot to learn new skills by observing and imitating a human …
controllers to enable the robot to learn new skills by observing and imitating a human …
Exemplar-based primitives for humanoid movement classification and control
E Drumwright, OC Jenkins… - … Conference on Robotics …, 2004 - ieeexplore.ieee.org
We present a unified methodology for humanoid robot control and activity, classification
using motor primitives (Mataric, M, 2002), computationally efficient behaviors capable of …
using motor primitives (Mataric, M, 2002), computationally efficient behaviors capable of …
Reverse control for humanoid robot task recognition
Efficient methods to perform motion recognition have been developed using statistical tools.
Those methods rely on primitive learning in a suitable space, for example, the latent space …
Those methods rely on primitive learning in a suitable space, for example, the latent space …
Trajectory reconstruction with nurbs curves for robot programming by demonstration
Service robots require simple programming techniques allowing users with little or no
technical expertise to integrate new tasks in a robotic platform. A promising solution for …
technical expertise to integrate new tasks in a robotic platform. A promising solution for …
[PDF][PDF] Toward a vocabulary of primitive task programs for humanoid robots
E Drumwright, V Ng-Thow-Hing… - … on Development and …, 2006 - academia.edu
Researchers and engineers have used primitive actions to facilitate programming of tasks
since the days of Shakey [1]. Task-level programming, which requires the user to specify …
since the days of Shakey [1]. Task-level programming, which requires the user to specify …
Arm gesture recognition and humanoid imitation using functional principal component analysis
J Aleotti, A Cionini, L Fontanili… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
A method is proposed for gesture recognition and humanoid imitation based on Functional
Principal Component Analysis (FPCA). FPCA is a statistical technique of functional data …
Principal Component Analysis (FPCA). FPCA is a statistical technique of functional data …
Functional principal component analysis for recognition of arm gestures and humanoid imitation
This paper investigates the use of functional principal component analysis (FPCA) for
automatic recognition of dynamic human arm gestures and robot imitation. FPCA is a …
automatic recognition of dynamic human arm gestures and robot imitation. FPCA is a …
[图书][B] Data-driven derivation of skills for autonomous humanoid agents
OC Jenkins - 2003 - search.proquest.com
This dissertation addresses the problem of modularizing the capabilities of a humanoid
agent into skill level behaviors. Our approach to this problem is to derive the skill level …
agent into skill level behaviors. Our approach to this problem is to derive the skill level …
Reinforcement learning for motor primitives
J Kober - 2008 - pure.mpg.de
Reinforcement Learning for Motor Primitives Page 1 Universität Stuttgart Fakultät 7:
Konstruktions-, Produktions- und Fahrzeugtechnik Institut für Angewandte und Experimentelle …
Konstruktions-, Produktions- und Fahrzeugtechnik Institut für Angewandte und Experimentelle …
Behavior-based methods for modeling and structuring control of social robots
DA Shell, MJ Mataric - Cognition and Multi-Agent Interaction, 2005 - books.google.com
280 Dylan A. Shell and Maja J. Matarić building blocks termed behaviors. Primitives are
another key modularity construct of the action-centered methodology, and are essentially …
another key modularity construct of the action-centered methodology, and are essentially …