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检索条件"机构=Computer Vision and Active Perception Lab"
92 条 记 录,以下是51-60 订阅
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Friction Coefficients and Grasp Synthesis
Friction Coefficients and Grasp Synthesis
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Kaiyu Hang Florian T. Pokorny Danica Kragic Computer Vision and Active Perception Lab Centre for Autonomous Systems CSC KTH Royal Institute of Technology Stockholm Sweden
We propose a new concept called friction sensitivity which measures how susceptible a specific grasp is to changes in the underlying friction coefficients. We develop algorithms for the synthesis of stable grasps with... 详细信息
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Interactive object classification using sensorimotor contingencies
Interactive object classification using sensorimotor conting...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Virgile Hogman Marten Bjorkman Danica Kragic Centre for Autonomous Systems Computer Vision and Active Perception Lab CSC KTH Royal Institute of Technology Stockholm Sweden
Understanding and representing objects and their function is a challenging task. Objects we manipulate in our daily activities can be described and categorized in various ways according to their properties or affordan... 详细信息
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Interaction aware trajectory planning for merge scenarios in congested traffic situations
Interaction aware trajectory planning for merge scenarios in...
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International Conference on Intelligent Transportation
作者: Niclas Evestedt Erik Ward John Folkesson Daniel Axehill Division of Automatic Control Linköping University Sweden Computer Vision and Active Perception Lab KTH Stockholm Sweden
In many traffic situations there are times where interaction with other drivers is necessary and unavoidable in order to safely progress towards an intended destination. This is especially true for merge manoeuvres in... 详细信息
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Integrated Motion and Clasp Planning with Virtual Linking
Integrated Motion and Clasp Planning with Virtual Linking
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Johannes A. Stork Florian T. Pokorny Danica Kragic Computer Vision and Active Perception Lab Centre for Autonomous Systems CSC KTH Royal Institute of Technology Stockholm Sweden
In this work, we address the problem of simultaneous clasp and motion planning on unknown objects with holes. Clasping an object enables a rich set of activities such as dragging, toting, pulling and hauling which can... 详细信息
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Enhancing Visual perception of Shape through Tactile Glances
Enhancing Visual Perception of Shape through Tactile Glances
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Marten Bjorkman Yasemin Bekiroglu Virgile Hogman Danica Kragic Centre for Autonomous Systems and the Computer Vision and Active Perception Lab CSC KTH Royal Institute of Technology Stockholm Sweden
Object shape information is an important parameter in robot grasping tasks. However, it may be difficult to obtain accurate models of novel objects due to incomplete and noisy sensory measurements. In addition, object... 详细信息
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Cooperative Object Path Following Control by means of Mobile Manipulators: a Switched Systems Approach
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IFAC Proceedings Volumes 2012年 第22期45卷 773-778页
作者: Johan Markdahl Yiannis Karayiannidis Xiaoming Hu Division of Optimization and Systems Theory KTH Royal Institute of Technology Stockholm Sweden Computer Vision and Active Perception Lab KTH Royal Institute of Technology Stockholm Sweden
This paper proposes a switched control algorithm for distributed cooperative manipulation of rigid bodies in a planar setting. More specifically, we consider the problem of making a grasped object follow a desired pos... 详细信息
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Integrated On-line Robot-camera Calibration and Object Pose Estimation
Integrated On-line Robot-camera Calibration and Object Pose ...
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IEEE International Conference on Robotics and Automation
作者: Karl Pauwels Danica Kragic Computer Vision and Active Perception Lab Center for Autonomous Systems School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden
We present a novel on-line approach for extrinsic robot-camera calibration, a process often referred to as hand-eye calibration, that uses object pose estimates from a real-time model-based tracking approach. While of... 详细信息
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Extracting Essential Local Object Characteristics for 3D Object Categorization
Extracting Essential Local Object Characteristics for 3D Obj...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Marianna Madry Heydar Maboudi Afkham Carl Henrik Ek Stefan Carlsson Danica Kragic Centre for Autonomous Systems and the Computer Vision and Active Perception Lab CSC KTH Royal Institute of Technology Stockholm Sweden.
Most object classes share a considerable amount of local appearance and often only a small number of features are discriminative. The traditional approach to represent an object is based on a summarization of the loca... 详细信息
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Persistent Homology for Learning Densities with Bounded Support  12
Persistent Homology for Learning Densities with Bounded Supp...
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Annual Conference on Neural Information Processing Systems
作者: Florian T. Pokorny Carl Henrik Ek Hedvig Kjellstroem Danica Kragic Computer Vision and Active Perception Lab Centre for Autonomous Systems School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden
We present a novel method for learning densities with bounded support which enables us to incorporate 'hard' topological constraints. In particular, we show how emerging techniques from computational algebraic... 详细信息
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Multivariate Discretization for Bayesian Network Structure Learning in Robot Grasping
Multivariate Discretization for Bayesian Network Structure L...
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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
作者: Dan Song Carl Henrik Ek Kai Huebner Danica Kragic KTH - Royal Institute of Technology StockholmSwedenas members of the Computer Vision & Active Perception Lab.Centre for Autonomous Systems
A major challenge in modeling with BNs is learning the structure from both discrete and multivariate continuous data. A common approach in such situations is to discretize continuous data before structure learning. Ho... 详细信息
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