Constructing Hydraulic Robot Models Using Memory-Based Learning
نویسندگان
چکیده
منابع مشابه
Constructing Hydraulic Robot Models Using Memory- Based Learning
Hydraulic machines used in mining and excavation applications are non-linear systems. Besides the nonlinearity due to the dynamic coupling between the different links there are significant actuator non-linearities due to the inherent properties of the hydraulic system. Optimal motion planning for these machines, i.e. planning motions that optimize a user-selectable combination of criteria such ...
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Hydraulic machines used in mining and excavation applications are non-linear systems. Besides the nonlinearity due to the dynamic coupling between the different links there are significant actuator non-linearities due to the inherent properties of the hydraulic system. Optimal motion planning for these machines, i.e. planning motions that optimize a user-selectable combination of criteria such ...
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Computing optimal motions for any robot requires a good model, and a method to compute the optimal motions using that model. As research is conducted into automating operations in construction, excavation etc. there arises a need to compute optimal motions for the hydraulic machines used in these areas. Hydraulic machines disallow a simple extension of work done previously on optimal motion pla...
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Hydraulic machines used in a number of applications are highly non-linear systems. Besides the dynamic coupling between the different links, there are significant actuator non-linearities due to the inherent properties of the hydraulic system. Automation of such machines requires the robotic machine to be atleast as productive as a manually operated machine, which in turn make the case for perf...
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ژورنال
عنوان ژورنال: Journal of Aerospace Engineering
سال: 1999
ISSN: 0893-1321,1943-5525
DOI: 10.1061/(asce)0893-1321(1999)12:2(34)