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IJRR
2011
126views more  IJRR 2011»
13 years 29 days ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
13 years 1 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
IFIP
1994
Springer
13 years 10 months ago
Exploring user interfaces to improve learning outcomes
The concept of information landscapes has been a constant theme in the development of interactive multimedia packages. For the interface and access to this information to be effec...
John G. Hedberg, Barry Harper, Christine Brown, Ro...
IUI
2012
ACM
12 years 1 months ago
Probabilistic pointing target prediction via inverse optimal control
Numerous interaction techniques have been developed that make “virtual” pointing at targets in graphical user interfaces easier than analogous physical pointing tasks by invok...
Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell
IROS
2008
IEEE
115views Robotics» more  IROS 2008»
14 years 12 days ago
A framework for optimal gait generation via learning optimal control using virtual constraint
— This paper proposes an optimal gait generation framework using virtual constraint and learning optimal control. In this method, firstly, we add a constraint by a virtual poten...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon