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Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
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Development of a Coaxial Over-the-Scope Bimanual Robot Enabling Lesion-Aligned Manipulation for ESD. [PDF]
Int J Med RobotKim C +8 more
europepmc +1 more source
Design and Experimental Verification of a Gibbon-Inspired Tree-Climbing Robot for Forestry Environments. [PDF]
Biomimetics (Basel)Lu X, An J, Ga L, Bai X, Xu D, Li W.
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International Journal of Social Ecology and Sustainable Development, 2022
In robotic industry, today, interactions between human and machine usually consists of programming and maintaining machine using human operator. Using a robotic system in any industry for work provides precision and a certain level of accuracy. A robotic entity such as a robotic arm will not ask for time out and can work efficiently day and night which
Ashima Narang +2 more
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In robotic industry, today, interactions between human and machine usually consists of programming and maintaining machine using human operator. Using a robotic system in any industry for work provides precision and a certain level of accuracy. A robotic entity such as a robotic arm will not ask for time out and can work efficiently day and night which
Ashima Narang +2 more
openaire +1 more source
Development of the mobile robot with a robot arm
2016 IEEE International Conference on Industrial Technology (ICIT), 2016The paper develops a mobile platform, based on KNR controller manufactured by Barden-Powell International and National Instruments (NI). The core of KNR controller adopts NI Single-Board RIO 9606 embedded platform, which integrates diverse sensors, motor controllers, and image processing module within itself.
Hung Guo +3 more
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2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In this study, a chess playing robotic arm system which has 5 degree of freedoms is developed. System comprised with various modules such as; main controller, image processing, machine learning, game engine and motion engine of robotic arm. Image processing unit is triggered only whenever opponent starts to move chessman.
Musa Atas, Yahya Dogan, Isa Atas
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In this study, a chess playing robotic arm system which has 5 degree of freedoms is developed. System comprised with various modules such as; main controller, image processing, machine learning, game engine and motion engine of robotic arm. Image processing unit is triggered only whenever opponent starts to move chessman.
Musa Atas, Yahya Dogan, Isa Atas
openaire +3 more sources