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检索条件"机构=Computer Vision and Active Perception Laboratory"
58 条 记 录,以下是21-30 订阅
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A probabilistic framework for task-oriented grasp stability assessment
A probabilistic framework for task-oriented grasp stability ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Yasemin Bekiroglu Dan Song Lu Wang Danica Kragic Centre for Autonomous Systems and the Computer Vision and Active Perception Laboratory CSC Royal Institute of Technology Stockholm Sweden
We present a probabilistic framework for grasp modeling and stability assessment. The framework facilitates assessment of grasp success in a goal-oriented way, taking into account both geometric constraints for task a... 详细信息
来源: 评论
Cue integration through discriminative accumulation
Cue integration through discriminative accumulation
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Conference on computer vision and Pattern Recognition (CVPR)
作者: M.E. Nilsback B. Caputo Department of Numerical Analysis and Computer Science Computational Vision and Active Perception Laboratory (CVAP) KTH Stockholm Sweden
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme, which extends the idea of cue accumulation to discrimi... 详细信息
来源: 评论
Learning a dictionary of prototypical grasp-predicting parts from grasping experience
Learning a dictionary of prototypical grasp-predicting parts...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Renaud Detry Carl Henrik Ek Marianna Madry Danica Kragic Centre for Autonomous Systems and the Computer Vision and Active Perception Laboratory CSC Royal Institute of Technology Stockholm Sweden
We present a real-world robotic agent that is capable of transferring grasping strategies across objects that share similar parts. The agent transfers grasps across objects by identifying, from examples provided by a ... 详细信息
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Sparse summarization of robotic grasping data
Sparse summarization of robotic grasping data
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Martin Hjelm Carl Henrik Ek Renaud Detry Hedvig Kjellström Danica Kragic Centre for Autonomous Systems Computer Vision and Active Perception Laboratory CSC Royal Institute of Technology Stockholm Sweden
We propose a new approach for learning a summarized representation of high dimensional continuous data. Our technique consists of a Bayesian non-parametric model capable of encoding high-dimensional data from complex ... 详细信息
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Integrating representative and discriminant models for object category detection
Integrating representative and discriminant models for objec...
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International Conference on computer vision (ICCV)
作者: M. Fritz B. Leibe B. Caputo B. Schiele Multimodal Interactive Systems Technical University of Darmstadt Germany Computer Vision and Active Perception Laboratory KTH Stockholm Sweden
Category detection is a lively area of research. While categorization algorithms tend to agree in using local descriptors, they differ in the choice of the classifier, with some using generative models and others disc... 详细信息
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Improving generalization for 3D object categorization with Global Structure Histograms
Improving generalization for 3D object categorization with G...
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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Marianna Madry Carl Henrik Ek Renaud Detry Kaiyu Hang Danica Kragic Centre for Autonomous Systems and the Computer Vision and Active Perception Laboratory CSC KTH Royal Institute of Technology Stockholm Sweden
We propose a new object descriptor for three dimensional data named the Global Structure Histogram (GSH). The GSH encodes the structure of a local feature response on a coarse global scale, providing a beneficial trad... 详细信息
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Visual recognition of grasps for human-to-robot mapping
Visual recognition of grasps for human-to-robot mapping
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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Hedvig Kjellstrom Javier Romero Danica Kragic Computational Vision and Active Perception Laboratory Centre for Autonomous Systems School of Computer Science and Communication KTH Stockholm Sweden
This paper presents a vision based method for grasp classification. It is developed as part of a Programming by Demonstration (PbD) system for which recognition of objects and pick-and-place actions represent basic bu... 详细信息
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Model-free robot manipulation of doors and drawers by means of fixed-grasps
Model-free robot manipulation of doors and drawers by means ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Yiannis Karayiannidis Christian Smith Francisco E. Viña Petter Ögren Danica Kragic Computer Vision and Active Perception Laboratory Centre for Autonomous Systems School of Computer Science and Communication Royal Institute of Technology Stockholm Sweden
This paper addresses the problem of robot interaction with objects attached to the environment through joints such as doors or drawers. We propose a methodology that requires no prior knowledge of the objects' kin... 详细信息
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Grasping objects with holes: A topological approach
Grasping objects with holes: A topological approach
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Florian T. Pokorny Johannes A. Stork Danica Kragic Computer Vision and Active Perception Laboratory Centre for Autonomous Systems School of Computer Science and Communication Royal Institute of Technology Stockholm Sweden
This work proposes a topologically inspired approach for generating robot grasps on objects with `holes'. Starting from a noisy point-cloud, we generate a simplicial representation of an object of interest and use... 详细信息
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Attentional Landmark Selection for Visual SLAM
Attentional Landmark Selection for Visual SLAM
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2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Simone Frintrop Patric Jensfelt Henrik I. Christensen Computational Vision and Active Perception Laboratory (CVAP) Computer Science and Communication (CSC) Kungliga Tekniska Högskolan Stockholm Sweden
In this paper, we introduce a new method to automatically detect useful landmarks for visual SLAM. A biologically motivated attention system detects regions of interest which "pop-out" automatically due to s... 详细信息
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