Kinematic Synthesis Using Reinforcement Learning
Keyword(s):
The presented research demonstrates the synthesis of two-dimensional kinematic mechanisms using feature-based reinforcement learning. As a running example the classic challenge of designing a straight-line mechanism is adopted: a mechanism capable of tracing a straight line as part of its trajectory. This paper presents a basic framework, consisting of elements such as mechanism representations, kinematic simulations and learning algorithms, as well as some of the resulting mechanisms and a comparison to prior art. Series of successful mechanisms have been synthesized for path generation of a straight line and figure-eight.
1973 ◽
Vol 95
(2)
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pp. 423-429
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2017 ◽
Vol 17
(01)
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pp. 06-10
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1958 ◽
Vol 4
(6)
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pp. 600-606
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2009 ◽
Vol 19
(02)
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pp. 545-555
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2019 ◽
Vol 6
(1)
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pp. 1-31
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1985 ◽
Vol 21
(6)
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pp. 624-631
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