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IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 3 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...
IROS
2008
IEEE
91views Robotics» more  IROS 2008»
14 years 3 months ago
Replanning: A powerful planning strategy for hard kinodynamic problems
— A series of kinodynamic sampling-based planners have appeared over the last decade to deal with high dimensional problems for robots with realistic motion constraints. Yet, ofï...
Konstantinos I. Tsianos, Lydia E. Kavraki
IROS
2008
IEEE
172views Robotics» more  IROS 2008»
14 years 3 months ago
Motion planning in urban environments: Part II
— We present the motion planning framework for an autonomous vehicle navigating through urban environments. Such environments present a number of motion planning challenges, incl...
Dave Ferguson, Thomas M. Howard, Maxim Likhachev
VMV
2001
145views Visualization» more  VMV 2001»
13 years 10 months ago
Registering Real-Scene to Virtual Imagery Using Robust Image Features
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
Yi Lu Murphey, Jianxin Zhang, Michael DelRose
HEURISTICS
2008
170views more  HEURISTICS 2008»
13 years 9 months ago
Accelerating autonomous learning by using heuristic selection of actions
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...