Cloud robotics

Results: 43



#Item
31Cloud-Based Robot Grasping with the Google Object Recognition Engine Ben Kehoe1 Akihiro Matsukawa2

Cloud-Based Robot Grasping with the Google Object Recognition Engine Ben Kehoe1 Akihiro Matsukawa2

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Source URL: queue.ieor.berkeley.edu

Language: English - Date: 2012-10-05 13:02:47
32Cloud-Based Robot Grasping with the Google Object Recognition Engine Ben Kehoe1 Akihiro Matsukawa2

Cloud-Based Robot Grasping with the Google Object Recognition Engine Ben Kehoe1 Akihiro Matsukawa2

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Source URL: goldberg.berkeley.edu

Language: English - Date: 2013-02-25 00:51:23
33Toward Cloud-Based Grasping with Uncertainty in Shape: Estimating Lower Bounds on Achieving Force Closure with Zero-Slip Push Grasps Ben Kehoe1 Dmitry Berenson2

Toward Cloud-Based Grasping with Uncertainty in Shape: Estimating Lower Bounds on Achieving Force Closure with Zero-Slip Push Grasps Ben Kehoe1 Dmitry Berenson2

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Source URL: goldberg.berkeley.edu

Language: English - Date: 2012-02-21 09:48:53
34Uncertainty-Driven View Planning for Underwater Inspection Geoffrey A. Hollinger, Brendan Englot, Franz Hover, Urbashi Mitra, and Gaurav S. Sukhatme Abstract— We discuss the problem of inspecting an underwater structur

Uncertainty-Driven View Planning for Underwater Inspection Geoffrey A. Hollinger, Brendan Englot, Franz Hover, Urbashi Mitra, and Gaurav S. Sukhatme Abstract— We discuss the problem of inspecting an underwater structur

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Source URL: robotics.usc.edu

Language: English - Date: 2013-06-01 19:27:51
35Rapyuta: The RoboEarth Cloud Engine Dominique Hunziker, Mohanarajah Gajamohan, Markus Waibel, and Raffaello D’Andrea Abstract— In this paper we present the design and implementation of Rapyuta1 , the RoboEarth Cloud

Rapyuta: The RoboEarth Cloud Engine Dominique Hunziker, Mohanarajah Gajamohan, Markus Waibel, and Raffaello D’Andrea Abstract— In this paper we present the design and implementation of Rapyuta1 , the RoboEarth Cloud

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Source URL: roboearth.org

Language: English - Date: 2014-05-15 08:08:00
36Active planning for underwater inspection and the benefit of adaptivity The International Journal of Robotics Research–18

Active planning for underwater inspection and the benefit of adaptivity The International Journal of Robotics Research–18

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Source URL: robotics.usc.edu

Language: English - Date: 2013-06-01 19:27:53
37Semantic Labeling of 3D Point Clouds with Object Affordance for Robot Manipulation David Inkyu Kim Abstract— When a robot is deployed it needs to understand the nature of its surroundings. In this paper, we address the

Semantic Labeling of 3D Point Clouds with Object Affordance for Robot Manipulation David Inkyu Kim Abstract— When a robot is deployed it needs to understand the nature of its surroundings. In this paper, we address the

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Source URL: robotics.usc.edu

Language: English - Date: 2014-11-10 19:44:44
38icp_rms_error_benchmarks.eps

icp_rms_error_benchmarks.eps

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Source URL: www.best-of-robotics.org

Language: English - Date: 2011-07-10 14:22:10
39Microsoft PowerPoint - semantic_maps_ICRA.ppt

Microsoft PowerPoint - semantic_maps_ICRA.ppt

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Source URL: www.best-of-robotics.org

Language: English - Date: 2011-07-10 14:22:12
40Semantic Labeling: Classification of 3D Entities Based on Spatial Feature Descriptors Markus Eich, Malgorzata Dabrowska, and Frank Kirchner DFKI Bremen (German Research Center For Artificial Intelligence) Robotics Innova

Semantic Labeling: Classification of 3D Entities Based on Spatial Feature Descriptors Markus Eich, Malgorzata Dabrowska, and Frank Kirchner DFKI Bremen (German Research Center For Artificial Intelligence) Robotics Innova

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Source URL: www.best-of-robotics.org

Language: English - Date: 2011-07-10 14:22:13