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Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs

Overview of attention for article published in Advanced Robotics, February 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 415)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

twitter
56 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs
Published in
Advanced Robotics, February 2023
DOI 10.1080/01691864.2023.2180327
Authors

Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Student > Doctoral Student 1 11%
Unknown 7 78%
Readers by discipline Count As %
Computer Science 1 11%
Engineering 1 11%
Unknown 7 78%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2024.
All research outputs
#1,307,857
of 26,744,914 outputs
Outputs from Advanced Robotics
#16
of 415 outputs
Outputs of similar age
#27,469
of 435,022 outputs
Outputs of similar age from Advanced Robotics
#1
of 4 outputs
Altmetric has tracked 26,744,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 415 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 435,022 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them