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HRI
2007
ACM
14 years 3 months ago
Learning by demonstration with critique from a human teacher
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Brenna Argall, Brett Browning, Manuela M. Veloso
ISCA
2002
IEEE
91views Hardware» more  ISCA 2002»
14 years 4 months ago
Slack: Maximizing Performance Under Technological Constraints
Many emerging processor microarchitectures seek to manage technological constraints (e.g., wire delay, power, and circuit complexity) by resorting to nonuniform designs that provi...
Brian A. Fields, Rastislav Bodík, Mark D. H...
ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
14 years 4 months ago
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots
This article presents a new approach to movement planning, on-line trajectory modiļ¬cation, and imitation learning by representing movement plans based on a set of nonlinear diļ¬...
Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
14 years 4 months ago
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies
ā€” We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
Kenneth Robert Alton, Michiel van de Panne