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» Using Stochastic Grammars to Learn Robotic Tasks
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SAB
2010
Springer
187views Optimization» more  SAB 2010»
13 years 7 months ago
Learning Robot-Environment Interaction Using Echo State Networks
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
Mohamed Oubbati, Bahram Kord, Günther Palm
ATAL
2008
Springer
13 years 10 months ago
Teaching sequential tasks with repetition through demonstration
For robots to become prevalent in human environments, the robots need to be able to perform complex tasks often involving sequential repetition of actions. In this work, we presen...
Harini Veeraraghavan, Manuela M. Veloso
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
14 years 3 months ago
Stochastic strategies for a swarm robotic assembly system
— We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predete...
Loic Matthey, Spring Berman, Vijay Kumar
MICAI
2010
Springer
13 years 7 months ago
Teaching a Robot to Perform Tasks with Voice Commands
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
IJHR
2008
119views more  IJHR 2008»
13 years 8 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...