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检索条件"机构=Computer Vision and Active Perception Laboratory"
58 条 记 录,以下是1-10 订阅
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Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks  38
Social Affordance Tracking over Time - A Sensorimotor Accoun...
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38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016
作者: Bütepage, Judith Kjellström, Hedvig Kragic, Danica Computer Vision and Active Perception Laboratory CSC KTH Stockholm Sweden
False-belief task have mainly been associated with the explanatory notion of the theory of mind and the theory-theory. However, it has often been pointed out that this kind of high-level reasoning is computational and... 详细信息
来源: 评论
RCAMP: A resilient communication-aware motion planner for mobile robots with autonomous repair of wireless connectivity
arXiv
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arXiv 2017年
作者: Caccamo, Sergio Parasuraman, Ramviyas Freda, Luigi Gianni, Mario Ögren, Petter Computer Vision and Active Perception Lab. Centre for Autonomous Systems School of Computer Science and Communication KTH Royal Institute of Technology Sweden Purdue University West Lafayette United States ALCOR Laboratory DIAG Sapienza University of Rome Italy
Mobile robots, be it autonomous or teleoperated, require stable communication with the base station to exchange valuable information. Given the stochastic elements in radio signal propagation, such as shadowing and fa... 详细信息
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Topology, Big Data and Optimization
Studies in Big Data
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Studies in Big Data 2016年 18卷 147-176页
作者: Vejdemo-Johansson, Mikael Skraba, Primoz Computer Vision and Active Perception Laboratory KTH Royal Institute of Technology Stockholm100 44 Sweden AI Laboratory Jozef Stefan Institute Jamova 39 Ljubljana Slovenia
The idea of using geometry in learning and inference has a long history going back to canonical ideas such as Fisher information, Discriminant analysis, and Principal component analysis. The related area of Topologica... 详细信息
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On the Evolution of Fingertip Grasping Manifolds
On the Evolution of Fingertip Grasping Manifolds
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IEEE International Conference on Robotics and Automation
作者: K. Hang J. A. Haustein M. Li A. Billard C. Smith D. Kragic the Computer Vision and Active Perception Lab CAS CSC at KTH Royal Institute of Technology Stockholm Sweden the Learning Algorithms and Systems Laboratory (LASA) at école Polytechnique Fédérale de Lausanne (EPFL) Switzerland
Efficient and accurate planning of fingertip grasps is essential for dexterous in-hand manipulation. In this work, we present a system for fingertip grasp planning that incrementally learns a heuristic for hand reacha... 详细信息
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Estimating Attention in Exhibitions Using Wearable Cameras
Estimating Attention in Exhibitions Using Wearable Cameras
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International Conference on Pattern Recognition
作者: Ali S. Razavian Omid Aghazadeh Josephine Sullivan Stefan Carlsson KTH Computer Vision and Active Perception Laboratory Sweden
This paper demonstrates a system for automatic detection of visual attention and identification of salient items at exhibitions (e.g. museum or an auction). The method is offline and is done on a video captured by a h... 详细信息
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Model-aided State Estimation for Quadrotor Micro Air Vehicles amidst Wind Disturbances
Model-aided State Estimation for Quadrotor Micro Air Vehicle...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Dinuka Abeywardena Zhan Wang Gamini Dissanayake Steven L. Waslander Sarath Kodagoda Centre for Autonomous Systems University of Technology Sydney Computer Vision and Active Perception Lab Centre for Autonomous Systems CSC The Royal Institute of Technology KTH Stockholm 100 44 Sweden Waterloo Autonomous Vehicles Laboratory University of Waterloo Waterloo ON Canada N2L 3G1
This paper extends the recently developed Model-Aided Visual-Inertial Fusion (MA-VIF) technique for quadrotor Micro Air Vehicles (MAV) to deal with wind disturbances. The wind effects are explicitly modelled in the qu... 详细信息
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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
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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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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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