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ICDCS
2010
IEEE
13 years 11 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
ICRA
2010
IEEE
100views Robotics» more  ICRA 2010»
13 years 6 months ago
Robot limbo: Optimized planning and control for dynamically stable robots under vertical obstacles
Abstract— We present successful control strategies for dynamically stable robots that avoid low ceilings and other vertical obstacles in a manner similar to limbo dances. Given t...
Kasemsit Teeyapan, Jiuguang Wang, Tobias Kunz, Mik...
ICRA
1995
IEEE
107views Robotics» more  ICRA 1995»
13 years 11 months ago
A Design Method of Local Communication Area in Multiple Mobile Robot System
When many mobile robots should achieve cooperation, local communication system is considered appropriate from the standpoint of the cost and capacity of communication. This paper ...
Eiichi Yoshida, Masakazu Yamamoto, Tamio Arai, Jun...
AGENTS
1997
Springer
13 years 11 months ago
Real-Time Control of Attention and Behavior in a Logical Framework
We describe a uniform technique for representing both sensory data and the attentional state of an agent using a subset of modal logic with indexicals. The resulting representatio...
Ian Horswill
HYBRID
2009
Springer
14 years 2 months ago
Optimization of Multi-agent Motion Programs with Applications to Robotic Marionettes
Abstract. In this paper, we consider the problem of generating optimized, executable control code from high-level, symbolic specifications. In particular, we construct symbolic co...
Patrick Martin, Magnus Egerstedt