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ATAL
2008
Springer
13 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
13 years 11 months ago
Using Haptic Vector Fields for Animation Motion Control
We are exploring techniques for animation authoring and editing using a haptic force-feedback device. In our system, a family of animations is encoded by a bundle of trajectories....
Bruce Randall Donald, Frederick Henle
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 5 months ago
Dipole-like fields for stabilization of systems with Pfaffian constraints
This paper introduces a framework that guides the design of stabilizing feedback control laws for systems with Pfaffian constraints. A new class of N-dimensional vector fields, the...
Dimitra Panagou, Herbert G. Tanner, Kostas J. Kyri...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
CHI
2009
ACM
14 years 8 months ago
Multi-touch interface for controlling multiple mobile robots
We must give some form of a command to robots in order to have the robots do a complex task. An initial instruction is required even if they do their tasks autonomously. We theref...
Jun Kato, Daisuke Sakamoto, Masahiko Inami, Takeo ...