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检索条件"任意字段=Sensor Fusion and Decentralized Control in Robotic Systems IV"
114 条 记 录,以下是111-120 订阅
排序:
Approach of adaptive acquisition and modeling for free-form surface with structured-light vision sensor
Approach of adaptive acquisition and modeling for free-form ...
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sensor fusion and decentralized control in robotic systems III
作者: Chen, Kang-Ning Chen, Hang Liu, Zhi-gang Xi'an Jiaotong Univ Xi'an China
Rapid and high precision data acquisition methodology from coordinate components with free-form surface and geometrical model can be implemented widely. Typical application covers part localization, automatic calibrat... 详细信息
来源: 评论
Innovative Exploration of a Bio-Inspired sensor fusion Algorithm: Enhancing Micro Satellite Functionality through Touretsky's decentralized Neural Networks
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JOURNAL OF INTELLIGENT & robotic systems 2024年 第2期110卷 60-60页
作者: Hassani, S. M. Mehdi N. Roshanian, Jafar KN Toosi Univ Technol Inst Intelligent Control Syst Tehran Iran
Insect-inspired sensor fusion algorithms have presented a promising avenue in the development of robust and efficient systems, owing to the insects' ability to process numerous streams of noisy sensory data. The r... 详细信息
来源: 评论
robotic heterogeneous multi-sensor fusion with spatial and temporal alignment
Robotic heterogeneous multi-sensor fusion with spatial and t...
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IEEE Conference on Decision and control
作者: S. Bruder M. Farooq M. Bayoumi Department of Electrical Engineering Queen's University Kingston ONT Canada Department of Electrical Engineering Royal Military College of Canada Kingston ONT Canada
The authors address the development of a coherent framework suitable for the treatment of the heterogeneous multisensor fusion problem, in the context of a robotic environment. The analysis, is based on a geometric de... 详细信息
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Information Driven Coordinated Air-Ground Proactive Sensing
Information Driven Coordinated Air-Ground Proactive Sensing
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IEEE International Conference on robotics and Automation (ICRA)
作者: B. Grocholsky R. Swaminathan J. Keller V. Kumar G. Pappas GRASP Laboratory University of Pennsylvania Philadelphia PA USA
This paper concerns the problem of actively searching for and localizing ground features by a coordinated team of air and ground robotic sensor platforms. The approach taken builds on well known decentralized Data Fus... 详细信息
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