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ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
14 years 2 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
ICRA
2010
IEEE
427views Robotics» more  ICRA 2010»
13 years 6 months ago
KCT: a MATLAB toolbox for motion control of KUKA robot manipulators
— The Kuka Control Toolbox (KCT) is a collection of MATLAB functions for motion control of KUKA robot manipulators, developed to offer an intuitive and high-level programming int...
Francesco Chinello, Stefano Scheggi, Fabio Morbidi...
RAS
2010
109views more  RAS 2010»
13 years 6 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
ICRA
2008
IEEE
265views Robotics» more  ICRA 2008»
14 years 2 months ago
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
Subramanian Ramamoorthy, Benjamin Kuipers
SAB
2010
Springer
187views Optimization» more  SAB 2010»
13 years 6 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