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IROS
2008
IEEE
122views Robotics» more  IROS 2008»
14 years 1 months ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
ICRA
2010
IEEE
107views Robotics» more  ICRA 2010»
13 years 6 months ago
Fast resolution of hierarchized inverse kinematics with inequality constraints
— Classically, the inverse kinematics is performed by computing the singular value decomposition of the matrix to invert. This enables a very simple writing of the algorithm. How...
Adrien Escande, Nicolas Mansard, Pierre-Brice Wieb...
NIPS
1996
13 years 8 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
ICRA
1999
IEEE
151views Robotics» more  ICRA 1999»
13 years 11 months ago
Interaction with a Realtime Dynamic Environment Simulation Using a Magnetic Levitation Haptic Interface Device
A high performance six degree-of-freedom magnetic levitation haptic interface device has been integrated with a physically-based dynamic rigid-body simulation to enable realistic ...
Peter J. Berkelman, Ralph L. Hollis, David Baraff
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...