↓ Skip to main content

Velocity range-based reward shaping technique for effective map-less navigation with LiDAR sensor and deep reinforcement learning

Overview of attention for article published in Frontiers in Neurorobotics, September 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Velocity range-based reward shaping technique for effective map-less navigation with LiDAR sensor and deep reinforcement learning
Published in
Frontiers in Neurorobotics, September 2023
DOI 10.3389/fnbot.2023.1210442
Pubmed ID
Authors

HyeokSoo Lee, Jongpil Jeong

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 8%
Unspecified 1 8%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Unknown 9 69%
Readers by discipline Count As %
Engineering 2 15%
Social Sciences 1 8%
Unspecified 1 8%
Unknown 9 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 September 2023.
All research outputs
#21,968,045
of 24,510,033 outputs
Outputs from Frontiers in Neurorobotics
#766
of 973 outputs
Outputs of similar age
#193,014
of 235,412 outputs
Outputs of similar age from Frontiers in Neurorobotics
#13
of 20 outputs
Altmetric has tracked 24,510,033 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 973 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 235,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.