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» The Role of Learning in Autonomous Robots
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CEC
2009
IEEE
15 years 6 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
15 years 5 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
90
Voted
RAS
2006
138views more  RAS 2006»
14 years 11 months ago
From pixels to multi-robot decision-making: A study in uncertainty
Mobile robots must cope with uncertainty from many sources along the path from interpreting raw sensor inputs to behavior selection to execution of the resulting primitive actions...
Peter Stone, Mohan Sridharan, Daniel Stronger, Gre...
HRI
2012
ACM
13 years 7 months ago
ROS and Rosbridge: roboticists out of the loop
The advent of ROS, the Robot Operating System, has finally made it possible to implement and use state-of-the-art navigation and manipulation algorithms on widely-available, inex...
Christopher Crick, Graylin Jay, Sarah Osentoski, O...
CVPR
2005
IEEE
16 years 1 months ago
Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, whi...
Eric Royer, Maxime Lhuillier, Michel Dhome, Thierr...