Robot navigation

Results: 323



#Item
151Robotics / Motion planning / Robot

Optimal Gap Navigation for a Disc Robot Rigoberto Lopez-Padilla, Rafael Murrieta-Cid and Steven M. LaValle Abstract This paper considers the problem of globally optimal navigation with respect to Euclidean distance for a

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Source URL: msl.cs.uiuc.edu

Language: English - Date: 2012-04-29 22:54:32
152Robot control / Mobile robot / Robot / Motion planning / Kalman filter / Localization / Roomba / Robotics / Robot navigation / Monte Carlo localization

Probabilistic localization with a blind robot Lawrence H. Erickson1 , Joseph Knuth1 , Jason M. O’Kane2 , Steven M. LaValle1 Department of Computer Science Department of Computer Science and Engineering University of Il

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Source URL: msl.cs.uiuc.edu

Language: English - Date: 2007-10-11 13:30:33
153Artificial intelligence / Abstract algebra / Robotic mapping / Occupancy grid mapping / Kalman filter / Sheaf / Mobile robot navigation / Robot navigation / Topology / Simultaneous localization and mapping

A New Approach for Large-Scale Localization and Mapping: Hybrid Metric-Topological SLAM Jose-Luis Blanco, Juan-Antonio Fernández-Madrigal, Javier Gonzalez Dept. of System Engineering and Automation University of Malaga

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Source URL: mapir.isa.uma.es

Language: English - Date: 2013-04-17 12:23:31
154Robot navigation / Estimation theory / Robot control / Linear filters / Simultaneous localization and mapping / Statistical mechanics / Occupancy grid mapping / Kalman filter / Particle filter / Statistics / Probability and statistics / Applied mathematics

DP-SLAM 2.0 Austin I. Eliazar and Ronald Parr Department of Computer Science Duke University Durham, North Carolina[removed]Email: {eliazar,parr}@cs.duke.edu

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Source URL: www.cs.duke.edu

Language: English - Date: 2004-03-01 01:22:13
155Artificial intelligence / Robotic mapping / Occupancy grid mapping / Monte Carlo localization / Kinect / Mobile robot / Robot navigation / Human–computer interaction / Computer hardware

Textured Occupancy Grids for Monocular Localization Without Features Julian Mason, Susanna Ricco, and Ronald Parr Abstract— A textured occupancy grid map is an extremely versatile data structure. It can be used to rend

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Source URL: www.cs.duke.edu

Language: English - Date: 2011-03-29 12:03:44
156Demining / Fiction / War / Humanoid robot / Mobile robot / Robotics / Robot

Strategies for navigation of robot swarms to be used in landmines detection R. Cassinis, G. Bianco, A. Cavagnini, P. Ransenigo Dept. of Electronics for Automation Via Branze 38, I[removed]Brescia - Italy Phone +[removed]

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Source URL: www.ing.unibs.it

Language: English - Date: 2008-01-25 04:01:43
157Mechanical engineering / Robot navigation / Cartography / Robotic mapping / Mobile robot / Humanoid robot / Robot / Industrial robot / Motion planning / Robotics / Robot kinematics / Technology

Artificial Intelligence – An Introduction to Robotics Tim Niemueller and Sumedha Widyadharma July 8, 2003 Abstract This document gives a short introduction to the basics of robotics in the context of artificial intelli

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Source URL: niemueller.de

Language: English - Date: 2003-12-15 17:03:03
158Mobile robot / Robotics / Robot / Autonomous robot / Motion planning / Mean-shift / Applied mathematics / Artificial intelligence / Mathematics / Computer vision / Image processing / Segmentation

1 A New Approach for Vision-Based Navigation Sensory System of Agricultural Mobile Robots in Orchards Mostafa Sharifi Department of Mechanical Engineering, University of

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Source URL: www.lvl.co.nz

Language: English - Date: 2014-07-08 23:17:59
159Robotics / Cartography / Robotic mapping / Robot

An Information-Driven Navigation Strategy for Autonomous Navigation in Unknown Environments Redouane Boumghar November 14th, 2011 CNRS LAAS - RIA/RIS Group Universit´

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Source URL: rdcenter.yz.yamagata-u.ac.jp

Language: English - Date: 2013-08-06 04:26:07
160Robot / Motion planning / Robot navigation / PatrolBot / Autonomous research robot / Robotics / Mobile robot / Robotic mapping

ECE474/574 Robotic Navigation with SLAM – 3CR Instructor: Dr. Aleksander Malinowski http://gdansk.bradley.edu/olekmali/ Course description Principles of locomotion, sensing, localization, and motion planning of mobile

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Source URL: gdansk.bradley.edu

Language: English - Date: 2015-02-13 13:35:34
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