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» Learning to Control in Operational Space
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JMLR
2008
151views more  JMLR 2008»
15 years 3 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
CORR
2000
Springer
81views Education» more  CORR 2000»
15 years 3 months ago
Safe cooperative robot dynamics on graphs
This paper initiates the use of vector fields to design, optimize, and implement reactive schedules for safe cooperative robot patterns on planar graphs. We consider Automated Gui...
Robert Ghrist, Daniel E. Koditschek
122
Voted
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
15 years 8 months ago
Control interpretations of products in the Hopf algebra
Abstract— Families of differential operators, like those defining affine, generally nonlinear, control systems are known to have natural Hopf algebra structures. These provide ...
Matthias Kawski
AAMAS
2007
Springer
15 years 3 months ago
A framework for meta-level control in multi-agent systems
Sophisticated agents operating in open environments must make decisions that efficiently trade off the use of their limited resources between dynamic deliberative actions and dom...
Anita Raja, Victor R. Lesser
OSDI
1994
ACM
15 years 5 months ago
Implementation and Performance of Application-Controlled File Caching
Traditional le system implementations do not allow applications to control le caching replacement decisions. We have implemented two-level replacement, a scheme that allows appl...
Pei Cao, Edward W. Felten, Kai Li