vergilshawn/Awesome-Humanoid-Robot-Learning

The goal is to efficiently discover highly relevant humanoid robot learning papers without manually browsing arXiv every day.

Python

30

112 commits

updated Sep 28, 2026

See the code

README

Awesome-Humanoid-Robot-Learning

A curated and automatically updated collection of humanoid robot learning research papers.

  • Total Papers: 719
  • Real Robot Papers: 69
  • Open Source Papers: 128

🌟 indicates papers with detected project/code links.

Contents


Loco-Manipulation and Whole-Body Control

2026-09

2026-08

2026-07

2026-06

2026-05

2026-04

2026-03

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-12

2024-11

2024-10

2024-09

2024-07

2024-06

2024-03

2024-02

2023-10

2022-12

Manipulation

2026-09

2026-08

2026-07

2026-06

2026-04

2026-03

2026-02

2026-01

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-03

2025-02

2025-01

2024-12

2024-11

2024-10

2024-08

2024-07

2024-04

2024-03

Teleoperation

2026-09

2026-08

2026-07

2026-06

2026-05

2026-02

2025-11

2025-10

2025-08

2025-06

2025-05

2025-03

2024-09

2023-09

2023-01

2022-03

Locomotion

2026-09

2026-08

2026-07

2026-06

2026-05

2026-04

2026-03

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-11

2024-10

2024-08

2024-06

2024-04

2024-02

2024-01

2023-09

2023-07

2023-03

2023-02

2026-09

2026-07

2026-06

2026-05

2026-04

2026-02

2026-01

2025-12

2025-11

2025-09

2025-08

2025-07

2025-06

2025-05

2025-03

2024-12

2023-10

State Estimation

2026-09

2026-08

2026-07

2026-06

2026-05

2025-11

2025-07

2022-07

2019-04

2017-05

2014-10

Sim-to-Real

2026-07

2026-06

2026-02

2026-01

2025-10

2025-09

2025-08

2025-05

2025-04

2025-02

2019-01

Hardware Design

2026-08

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-07

2025-06

2025-04

2025-03

2025-02

2025-01

2024-09

2024-07

2021-04

2019-04

Simulation Benchmark

2026-09

2026-08

2026-07

2026-06

2026-05

2026-03

2026-02

2025-12

2025-10

2025-07

2025-06

2024-12

2024-10

2024-07

2024-06

2024-04

2024-03

Physics-Based Character Animation

2026-09

2026-08

2026-06

2026-05

2026-02

2025-12

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-10

2024-09

2024-08

2023-09

2023-06

2023-05

2022-08

2021-08

2018-11

2018-09

2018-08

2018-01

Human Motion Analysis and Synthesis

2026-09

2026-08

2026-07

2026-06

2026-05

2026-02

2025-12

2025-08

2025-05

2025-04

2025-03

2024-10

2024-05

2024-04

2023-10

2023-07

2023-06

2023-05

2022-12


Usage

# Install dependencies
pip install -r requirements.txt
npm install

# Update recent papers with daily arXiv windows
python scripts/update_daily.py --days 7

# Preview the website
npm run docs:dev

License

MIT

vergilshawn/Awesome-Humanoid-Robot-Learning

The goal is to efficiently discover highly relevant humanoid robot learning papers without manually browsing arXiv every day.

Python

30

112 commits

updated Sep 28, 2026

See the code

README

Awesome-Humanoid-Robot-Learning

A curated and automatically updated collection of humanoid robot learning research papers.

  • Total Papers: 719
  • Real Robot Papers: 69
  • Open Source Papers: 128

🌟 indicates papers with detected project/code links.

Contents


Loco-Manipulation and Whole-Body Control

2026-09

2026-08

2026-07

2026-06

2026-05

2026-04

2026-03

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-12

2024-11

2024-10

2024-09

2024-07

2024-06

2024-03

2024-02

2023-10

2022-12

Manipulation

2026-09

2026-08

2026-07

2026-06

2026-04

2026-03

2026-02

2026-01

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-03

2025-02

2025-01

2024-12

2024-11

2024-10

2024-08

2024-07

2024-04

2024-03

Teleoperation

2026-09

2026-08

2026-07

2026-06

2026-05

2026-02

2025-11

2025-10

2025-08

2025-06

2025-05

2025-03

2024-09

2023-09

2023-01

2022-03

Locomotion

2026-09

2026-08

2026-07

2026-06

2026-05

2026-04

2026-03

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-11

2024-10

2024-08

2024-06

2024-04

2024-02

2024-01

2023-09

2023-07

2023-03

2023-02

2026-09

2026-07

2026-06

2026-05

2026-04

2026-02

2026-01

2025-12

2025-11

2025-09

2025-08

2025-07

2025-06

2025-05

2025-03

2024-12

2023-10

State Estimation

2026-09

2026-08

2026-07

2026-06

2026-05

2025-11

2025-07

2022-07

2019-04

2017-05

2014-10

Sim-to-Real

2026-07

2026-06

2026-02

2026-01

2025-10

2025-09

2025-08

2025-05

2025-04

2025-02

2019-01

Hardware Design

2026-08

2026-02

2026-01

2025-12

2025-11

2025-10

2025-09

2025-07

2025-06

2025-04

2025-03

2025-02

2025-01

2024-09

2024-07

2021-04

2019-04

Simulation Benchmark

2026-09

2026-08

2026-07

2026-06

2026-05

2026-03

2026-02

2025-12

2025-10

2025-07

2025-06

2024-12

2024-10

2024-07

2024-06

2024-04

2024-03

Physics-Based Character Animation

2026-09

2026-08

2026-06

2026-05

2026-02

2025-12

2025-10

2025-09

2025-08

2025-07

2025-06

2025-05

2025-04

2025-03

2025-02

2024-10

2024-09

2024-08

2023-09

2023-06

2023-05

2022-08

2021-08

2018-11

2018-09

2018-08

2018-01

Human Motion Analysis and Synthesis

2026-09

2026-08

2026-07

2026-06

2026-05

2026-02

2025-12

2025-08

2025-05

2025-04

2025-03

2024-10

2024-05

2024-04

2023-10

2023-07

2023-06

2023-05

2022-12


Usage

# Install dependencies
pip install -r requirements.txt
npm install

# Update recent papers with daily arXiv windows
python scripts/update_daily.py --days 7

# Preview the website
npm run docs:dev

License

MIT

Languages

Python

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