Sciweavers

2082 search results - page 114 / 417
» Using model knowledge for learning inverse dynamics
Sort
View
IJCAI
2001
15 years 4 months ago
Integrating Expectations from Different Sources to Help End Users Acquire Procedural Knowledge
Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
Jim Blythe
IFM
2009
Springer
124views Formal Methods» more  IFM 2009»
15 years 10 months ago
Dynamic Path Reduction for Software Model Checking
We present the new technique of dynamic path reduction (DPR), which allows one to prune redundant paths from the state space of a program under verification. DPR is a very general...
Zijiang Yang, Bashar Al-Rawi, Karem Sakallah, Xiao...
NIPS
1992
15 years 4 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
148
Voted
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
15 years 9 months ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
122
Voted
IJON
2007
85views more  IJON 2007»
15 years 3 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls