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ROBOCUP
2007
Springer

60views Robotics» more ROBOCUP 2007»

Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation

1 years 11 months ago

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In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....

Pablo Guerrero, Javier Ruiz-del-Solar

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Id	Views	Title	Status
1	60	Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation	claim
2	60	3D Tracking by Catadioptric Vision Based on Particle Filters	claim
3	55	Model-Based Reinforcement Learning in a Complex Domain	claim
4	54	Mean-Shift-Based Color Tracking in Illuminance Change	claim
5	54	Robust Object Recognition Using Wide Baseline Matching for RoboCup Applications	claim
6	50	Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others	claim
7	49	HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction	claim
8	49	High Accuracy Navigation in Unknown Environment Using Adaptive Control	claim
9	48	Instance-Based Action Models for Fast Action Planning	claim
10	48	Compliance Control for Biped Walking on Rough Terrain	claim
11	48	Model Checking Hybrid Multiagent Systems for the RoboCup	claim
12	48	Tailored Real-Time Simulation for Teams of Humanoid Robots	claim
13	48	Layered Learning for a Soccer Legged Robot Helped with a 3D Simulator	claim
14	47	Incremental Generation of Abductive Explanations for Tactical Behavior	claim
15	46	Adaptive Recognition of Color-Coded Objects in Indoor and Outdoor Environments	claim
16	45	Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents	claim
17	44	Probabilistic Decision Making in Robot Soccer	claim
18	43	Beyond Frontier Exploration	claim
19	42	A Scalable Hybrid Multi-robot SLAM Method for Highly Detailed Maps	claim
20	42	A Neural Network-Based Approach to Robot Motion Control	claim
21	41	A Simulation Environment for Middle-Size Robots with Multi-level Abstraction	claim
22	37	Detection of AIBO and Humanoid Robots Using Cascades of Boosted Classifiers	claim
23	35	Automatic On-Line Color Calibration Using Class-Relative Color Spaces	claim
24	34	Self-localization Using Odometry and Horizontal Bearings to Landmarks	claim
25	34	Region-Based Segmentation with Ambiguous Color Classes and 2-D Motion Compensation	claim
26	32	Strategic Layout of Multi-cameras Based on a Minimum Risk Criterion	claim

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