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检索条件"机构=Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics"
26 条 记 录,以下是11-20 订阅
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Informative Shape Representations for Human Action Recognition
Informative Shape Representations for Human Action Recogniti...
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International Conference on Pattern Recognition
作者: Liang Wang D. Suter ARC Centre for Perceptive and Intelligent Machines in Complex Environments Monash University Clayton VIC Australia
Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition ... 详细信息
来源: 评论
Multiple robot path planning strategies for bush fire fighting
Multiple robot path planning strategies for bush fire fighti...
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2005 Australian Conference on robotics and Automation, ACRA 2005
作者: Jarvis, Ray Tang, Kai Wing Intelligent Robotics Research Centre ARC Centre for Perceptive and Intelligent Machines in Complex Environments Australia
This paper addresses path planning strategies for multiple robots to cooperate to extinguish a many fronted bush fire where the need to deliver adequate water to each fire front and for each vehicle to carry a limited... 详细信息
来源: 评论
Fast global reflectional symmetry detection for robotic grasping and visual tracking
Fast global reflectional symmetry detection for robotic gras...
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2005 Australian Conference on robotics and Automation, ACRA 2005
作者: Li, Wai Ho Zhang, Alan M. Kleeman, Lindsay Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Monash University Clayton Melbourne Australia
Many objects found in domestic environments are symmetrical. In this paper, a novel method to detect axis of reflectional symmetry in digital images is presented. The proposed approach utilizes image gradients and edg...
来源: 评论
Dominant orientation tracking for path following
Dominant orientation tracking for path following
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IEEE IRS/RSJ International Conference on intelligent Robots and Systems, IROS 2005
作者: Zhang, Alan M. Russell, R. Andrew Centre for Perceptive and Intelligent Machines in Complex Environments: Intelligent Robotics Monash University Clayton VIC 3800 Australia
The behaviour that allows mobile robots to follow what humans consider as paths is beneficial for autonomous nav- igation in a wide range of environments. Paths can be corridors, footpaths, catwalks, roads, etc. In fa... 详细信息
来源: 评论
Broadening vector space schemes for improving the quality of information retrieval
Broadening vector space schemes for improving the quality of...
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7th Asia-Pacific Web Conference on Web Technologies Research and Development - APWeb 2005
作者: Ramamohanarao, Kotagiri Park, Laurence A. F. ARC Centre for Perceptive and Intelligent Machines in Complex Environments Department of Computer Science and Software Engineering University of Melbourne Australia
The vector space model (VSM) of information retrieval suffers in two areas, it does not utilise term positions and it treats every term as being independent. We examine two information retrieval methods based on the s... 详细信息
来源: 评论
A ground-penetrating robot for underground chemical source location
A ground-penetrating robot for underground chemical source l...
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2005 IEEE/RSJ International Conference on intelligent Robots and Systems
作者: R.A. Russell Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Monash University Clayton VIC Australia
The robot mole project at Monash University aims to develop robotic systems for locating the source of volatile chemicals released underground. As part of this project, a mobile robot, MOLE I has been designed that ta... 详细信息
来源: 评论
Dominant orientation tracking for path following
Dominant orientation tracking for path following
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2005 IEEE/RSJ International Conference on intelligent Robots and Systems
作者: A.M. Zhang R.A. Russell Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Monash University Clayton VIC Australia
The behaviour that allows mobile robots to follow what humans consider as paths is beneficial for autonomous navigation in a wide range of environments. Paths can be corridors, footpaths, catwalks, roads, etc. In fact... 详细信息
来源: 评论
Wall following and obstacle avoidance results from a multi-DSP sonar ring on a mobile robot
Wall following and obstacle avoidance results from a multi-D...
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IEEE International Conference on Mechatronics and Automation
作者: S. Fazli L. Kleeman ARC Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University VIC Australia
Sensing capabilities of a multi-DSP sonar ring are demonstrated with wall following and obstacle avoidance behaviour. The autonomous mobile robot called "Sombrero" moves perpendicular to the nearest object o... 详细信息
来源: 评论
Interactive SLAM using Laser and Advanced Sonar
Interactive SLAM using Laser and Advanced Sonar
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IEEE International Conference on robotics and Automation (ICRA)
作者: A. Diosi G. Taylor L. Kleeman ARC Centre for Perceptive and Intelligent Machines in Complex Environments Department of Electrical and Computer Systems Engineering Monash University VIC Australia
This paper presents a novel approach to mapping for mobile robots that exploits user interaction to semiautonomously create a labelled map of the environment. The robot autonomously follows the user and is provided wi... 详细信息
来源: 评论
Laser scan matching in polar coordinates with application to SLAM
Laser scan matching in polar coordinates with application to...
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2005 IEEE/RSJ International Conference on intelligent Robots and Systems
作者: A. Diosi L. Kleeman ARC Centre for Perceptive and Intelligent Machines in Complex Environments Department of Electrical and Computer Systems Engineering Monash University VIC Australia
This paper presents a novel method for 2D laser scan matching called polar scan matching (PSM). The method belongs to the family of point to point matching approaches. Our method avoids searching for point association... 详细信息
来源: 评论