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Tinaliu0123/PolicyIK

PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning

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Python
13
1 contributors
Apache License 2.0
website
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Momentum

How fast Tinaliu0123/PolicyIK is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 4 – Nov 7, 2026

Stars +10 in 4 days

0510
8

Forks +0 in 4 days

01

Merged PRs 0 in 4 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 4Nov 5Nov 6Nov 7
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+1+00
Fri, Nov 6, 2026+8+00
Sat, Nov 7, 2026+1+00
Total+10+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 71 post
    • Can reinforcement learning replace traditional inverse kinematics for robot arms? PolicyIK takes an interesting approach. Instead of relying on numerical IK solvers and hand-tuned controllers, it…

      Read full on X, posted by @Alacritic_Super

      @Alacritic_Super · x.com

  2. Nov 51 post
    • 🌐 𝗧𝗵𝗲 𝗣𝗼𝗹𝗶𝗰𝘆𝗜𝗞 𝗿𝗲𝗰𝗶𝗽𝗲 𝗮𝗹𝘀𝗼 𝘄𝗼𝗿𝗸𝘀 𝗼𝗻 𝗮 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝘅𝗔𝗿𝗺𝟳. Policies trained in simulation and directly on the arm both succeed on all 60 standard and all 60…

      Read full on X, posted by @l_yuhan7272

      @l_yuhan7272 · x.com