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SAB
2004
Springer
159views Optimization» more  SAB 2004»
14 years 1 months ago
Swarming Behavior Using Probabilistic Roadmap Techniques
While techniques exist for simulating swarming behaviors, these methods usually provide only simplistic navigation and planning capabilities. In this review, we explore the benefi...
O. Burçhan Bayazit, Jyh-Ming Lien, Nancy M....
ICML
2009
IEEE
14 years 9 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ICRA
2003
IEEE
117views Robotics» more  ICRA 2003»
14 years 1 months ago
Map building with mobile robots in dynamic environments
The problem of generating maps with mobile robots has received considerable attention over the past years. Most of the techniques developed so far have been designed for situation...
Dirk Hähnel, Rudolph Triebel, Wolfram Burgard...
AROBOTS
2004
127views more  AROBOTS 2004»
13 years 8 months ago
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms
The control of robot swarming in a distributed manner is a difficult problem because global behaviors must emerge as a result of many local actions. This paper uses a bio-inspired ...
Wei-Min Shen, Peter M. Will, Aram Galstyan, Cheng-...
ATAL
2008
Springer
13 years 10 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 ...