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» Active Learning for Robot Manipulation
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IJCNN
2000
IEEE
14 years 1 days ago
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
: A system for learning the pre-grasp positioning task for a robot manipulator is presented. The images delivered from a gripper mounted camera are analysed using Gabor filters wh...
Jörg A. Walter, Bert Arnrich, Christian Schee...
IJHR
2008
119views more  IJHR 2008»
13 years 7 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...
HRI
2010
ACM
13 years 12 months ago
From manipulation to communicative gesture
— Assisting humans in their daily lives requires robots to be proficient in manual tasks and effective in communicating states/intentions with human users. This paper advocates ...
Shichao Ou, Roderic A. Grupen
ICRA
2010
IEEE
186views Robotics» more  ICRA 2010»
13 years 5 months ago
Multi-class batch-mode active learning for image classification
Accurate image classification is crucial in many robotics and surveillance applications
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
ICALT
2007
IEEE
14 years 2 months ago
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations
This paper describes how a knowledge model allows training software to evaluate spatial cognitive maps and provide tailored assistance.
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...