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» Using Learning in a Control Agent
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IROS
2009
IEEE
177views Robotics» more  IROS 2009»
14 years 2 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch
AAAI
2008
13 years 10 months ago
The Impact of Vertical Specialization on Hierarchical Multi-Agent Systems
Hierarchies are one of the most common organizational structures observed in multi-agent systems. In this paper we study vertical specialization as a reason for hierarchical struc...
Steven Okamoto, Paul Scerri, Katia P. Sycara
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
14 years 2 months ago
Norm optimal Cross-Coupled Iterative Learning Control
— In this paper, we focus on improving contour tracking in precision motion control (PMC) applications through the use of Cross-Coupled Iterative Learning Control (CCILC). Initia...
Kira Barton, Jeroen van de Wijdeven, Andrew Alleyn...
AR
2002
157views more  AR 2002»
13 years 8 months ago
Acquiring state from control dynamics to learn grasping policies for robot hands
Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...
Roderic A. Grupen, Jefferson A. Coelho Jr.
IUI
2009
ACM
14 years 5 months ago
Multi-touch interaction for robot control
Recent developments in multi-touch technologies have exposed fertile ground for research in enriched humanrobot interaction. Although multi-touch technologies have been used for v...
Mark Micire, Jill L. Drury, Brenden Keyes, Holly A...