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检索条件"机构=Computer Vision and Robotic Perception Lab"
8 条 记 录,以下是1-10 订阅
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FrontierNet: Learning Visual Cues to Explore
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IEEE robotics and Automation Letters 2025年 第7期10卷 6576-6583页
作者: Sun, Boyang Chen, Hanzhi Leutenegger, Stefan Cadena, Cesar Pollefeys, Marc Blum, Hermann ETH Zurich Computer Vision and Geometry Group Zurich 8092 Switzerland Technical University of Munich Mobile Robotics Lab München 80333 Germany ETH Zurich Mobile Robotics Lab Zurich 8092 Switzerland ETH Zurich Robotic Systems Lab Zurich 8092 Switzerland AI Lab Microsoft Mixed Reality Zurich 8038 Switzerland University of Bonn Lamarr Institute for ML and AI Robot Perception and Learning Lab Bonn 53115 Germany
Exploration of unknown environments is crucial for autonomous robots;it allows them to actively reason and decide on what new data to acquire for different tasks, such as mapping, object discovery, and environmental a... 详细信息
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Task-based grasp adaptation on a humanoid robot
Task-based grasp adaptation on a humanoid robot
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10th IFAC Symposium on Robot Control, SYROCO 2012
作者: Bohg, Jeannette Welke, Kai León, Beatriz Do, Martin Song, Dan Wohlkinger, Walter Madry, Marianna Aldóma, Aitor Przybylski, Markus Asfour, Tamim Martí, Higinio Kragic, Danica Morales, Antonio Vincze, Markus Humanoids and Intelligence Systems Lab. Institute for Anthropomatics KIT Germany Autonomous Motion Lab. MPI for Intelligent Systems Germany Robotic Intelligence Laboratory Department of Computer Science and Engineering UJI Spain Computer Vision and Active Perception Lab. KTH Sweden Automation and Control Institute TUW Austria
In this paper, we present an approach towards autonomous grasping of objects according to their category and a given task. Recent advances in the field of object segmentation and categorization as well as task-based g... 详细信息
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Robust 6d object pose estimation by learning rgb-d features
arXiv
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arXiv 2020年
作者: Tian, Meng Pan, Liang Ang Jr, Marcelo H. Lee, Gim Hee Department of Mechanical Engineering National University of Singapore Computer Vision and Robotic Perception Lab Department of Computer Science School of Computing National University of Singapore
Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping. Previous methods follow a local optimization approach which minimizes the distance between closest point pairs to handle the rota... 详细信息
来源: 评论
Robust 6D Object Pose Estimation by Learning RGB-D Features
Robust 6D Object Pose Estimation by Learning RGB-D Features
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IEEE International Conference on robotics and Automation (ICRA)
作者: Meng Tian Liang Pan Marcelo H Ang Gim Hee Lee Department of Mechanical Engineering National University of Singapore Computer Vision and Robotic Perception Lab Department of Computer Science School of Computing National University of Singapore
Accurate 6D object pose estimation is fundamental to robotic manipulation and grasping. Previous methods follow a local optimization approach which minimizes the distance between closest point pairs to handle the rota... 详细信息
来源: 评论
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Poi...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Liang Pan Chee-Meng Chew Gim Hee Lee Advanced Robotics Centre National University of Singapore Department of Mechanical Engineering National University of Singapore Computer Vision and Robotic Perception (CVRP) Lab National University of Singapore
Motivated by the success of encoding multi-scale contextual information for image analysis, we propose our PointAtrousGraph (PAG) - a deep permutation-invariant hierarchical encoder-decoder for efficiently exploiting ... 详细信息
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Task-based Grasp Adaptation on a Humanoid Robot
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IFAC Proceedings Volumes 2012年 第22期45卷 779-786页
作者: Jeannette Bohg Kai Welke Beatriz León Martin Do Dan Song Walter Wohlkinger Marianna Madry Aitor Aldóma Markus Przybylski Tamim Asfour Higinio Martí Danica Kragic Antonio Morales Markus Vincze Humanoids and Intelligence Systems Lab Institute for Anthropomatics KIT DE Autonomous Motion Lab MPI for Intelligent Systems DE Robotic Intelligence Laboratory Department of Computer Science and Engineering UJI ES Computer Vision and Active Perception lab KTH SE Automation and Control Institute TUW AT
In this paper, we present an approach towards autonomous grasping of objects according to their category and a given task. Recent advances in the field of object segmentation and categorization as well as task-based g... 详细信息
来源: 评论
A general framework for lifelong localization and mapping in changing environment
arXiv
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arXiv 2021年
作者: Zhao, Min Guo, Xin Song, Le Qin, Baoxing Shi, Xuesong Lee, Gim Hee Sun, Guanghui Gaussian Robotics Shanghai China Intel Labs China Beijing China Computer Vision and Robotic Perception Lab Department of Computer Science School of Computing National University of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology China
The environment of most real-world scenarios such as malls and supermarkets changes at all times. A prebuilt map that does not account for these changes becomes out-of-date easily. Therefore, it is necessary to have a... 详细信息
来源: 评论
Adversarial learning of structure-aware fully convolutional networks for landmark localization
arXiv
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arXiv 2017年
作者: Chen, Yu Shen, Chunhua Chen, Hao Wei, Xiu-Shen Liu, Lingqiao Yang, Jian Key Lab of Intelligent Perception and Systems High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security Nanjing University of Science and Technology School of Computer Science University of Adelaide Australian Centre for Robotic Vision Department of Computer Science and Technology Nanjing University
Landmark/pose estimation in single monocular images has received much effort in computer vision due to its important applications. It remains a challenging task when input images come with severe occlusions caused by,... 详细信息
来源: 评论