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» Randomized Robot Navigation Algorithms
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FOCS
1994
IEEE
14 years 1 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
AR
2006
118views more  AR 2006»
13 years 9 months ago
Epipole-based visual servoing for mobile robots
This paper proposes a visual servoing algorithm for mobile robot navigation based on the epipolar geometry retrieved by object profiles. The main motivation for this approach is th...
Graziano Chesi, Gian Luca Mariottini, Domenico Pra...
IJCAI
1993
13 years 10 months ago
Anytime Sensing Planning and Action: A Practical Model for Robot Control
Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robot...
Shlomo Zilberstein, Stuart J. Russell
ICRA
2008
IEEE
176views Robotics» more  ICRA 2008»
14 years 3 months ago
Experimental investigation on underwater acoustic ranging for small robotic fish
— GPS-free localization is essential for navigation and information tagging in small robotic fish-based aquatic mobile sensor networks. Constraints on size, weight, and onboard ...
Stephan Shatara, Xiaobo Tan, Ernest Mbemmo, Nathan...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 10 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...