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AAAI
2010
15 years 23 days ago
Online Learning of Uneven Terrain for Humanoid Bipedal Walking
We present a novel method to control a biped humanoid robot to walk on unknown inclined terrains, using an online learning algorithm to estimate in real-time the local terrain fro...
Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee
AIPS
1994
15 years 19 days ago
Becoming Increasingly Reliable
Autonomousmobile robots need to detect potential failures reliably and react appropriately. Dueto uncertainties about the robots and their environment,it is extremelydifficult to ...
Reid G. Simmons
ANTSW
2010
Springer
14 years 9 months ago
Formal Verification of Probabilistic Swarm Behaviours
Robot swarms provide a way for a number of simple robots to work together to carry out a task. While swarms have been found to be adaptable, fault-tolerant and widely applicable, d...
Savas Konur, Clare Dixon, Michael Fisher
EVOW
2009
Springer
15 years 6 months ago
Wireless Communications for Distributed Navigation in Robot Swarms
We consider a swarm of robots equipped with an infrared range and bearing device that is able both to make estimates of the relative distance and angle between two robots in line-o...
Gianni A. Di Caro, Frederick Ducatelle, Luca Maria...
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