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» Spatial Interception for Mobile Robots
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IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 4 months ago
Segregation in swarms of mobile robots based on the Brazil nut effect
— We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain...
Roderich Groß, Stéphane Magnenat, Fra...
MIRRORBOT
2005
Springer
154views Robotics» more  MIRRORBOT 2005»
14 years 3 months ago
Spatial Representation and Navigation in a Bio-inspired Robot
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
ICRA
2002
IEEE
176views Robotics» more  ICRA 2002»
14 years 2 months ago
Coverage Control for Mobile Sensing Networks
— This paper describes decentralized control laws for the coordination of multiple vehicles performing spatially distributed tasks. The control laws are based on a gradient desce...
Jorge Cortés, Sonia Martínez, Timur ...
ICRA
2007
IEEE
197views Robotics» more  ICRA 2007»
14 years 4 months ago
Detecting and Tracking Level Sets of Scalar Fields using a Robotic Sensor Network
— We introduce an algorithm which detects and traces a specified level set of a scalar field (a contour) on a plane. A network of static sensor nodes with limited communication...
Karthik Dantu, Gaurav S. Sukhatme
ICRA
1993
IEEE
142views Robotics» more  ICRA 1993»
14 years 1 months ago
Avoiding the Past: A Simple but Effective Strategy for Reactive Navigation
An issue central to the navigation problem is memory. Traditional systems build symbolic maps of the world for navigational reference. Reactive methods, in contrast, eliminate or m...
Tucker R. Balch, Ronald C. Arkin