READ ME File For 'Motion control for laser machining via reinforcement learning'

Dataset DOI:https://doi.org/10.5258/SOTON/D2108 

ReadMe Author: Yunhui Xie, Matthew Praeger, James Grant-Jacob, Robert Eason, Benjamin Mills, University of Southampton

This dataset supports the publication:
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Description:
The data.zip file contains all experimental data used for generating Fig.3 c), Fig.7 a) and Fig.7 e), and the image.zip file contains all figures listed in the paper in TIF (Tag Image File) graphics file format.

The figures are as follows:

Fig. 1  Comparing raster scanning with reinforcement learning.

Fig. 2  a) The schematic diagram of the experiment apparatus. b) An example of input to reinforcement learning agent. c) A different visualization of b).

Fig. 3  a) The training curve of the static target pattern RL model. b) Simulation results of CMA-ES and RL. c) Experimental results of RL

Fig. 4  a) The training curve of the rotating target pattern RL model. b) A degree-by-degree comparison between CMA-ES results and RL results. 

Fig. 5  a) to i) Example target patterns generated by a random shape generator

Fig. 6  a) The training curve of the random shape target pattern RL model. b) A box-and-whisker diagram showing result statistics

Fig. 7  a) and e) Experimental results. b) and f) Experimental results color-mapped for better visibility. c) and g) Trajectories of the experimental results. d) and h) CMA-ES simulation results

Fig. 8  Demonstration of self-correction ability

Geographic location of data collection: University of Southampton, U.K.

Date of data collection 2021-04-01 to 2021-11-01

Related projects:
Engineering and Physical Research Council Early Career Fellowships Scheme (EP/N03368X/1); Engineering and Physical Research Council (EP/T026197/1).


Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: January 2022