Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot

Despite significant interest and advancements in humanoid robotics, most existing commercially available hardware remains high-cost, closed-source, and non-transparent within the robotics community.This lack of accessibility and customization hinders the growth of the field and the broader development of humanoid technologies.To address these challenges and promote democratization in humanoid robotics, we demonstrate Berkeley Humanoid Lite, an open-source humanoid robot designed to be accessible, customizable, and beneficial for the entire community.The core of this design is a modular 3D-printed gearbox for the actuators and robot body.All components can be sourced from widely available e-commerce platforms and fabricated using standard desktop 3D printers, keeping the total hardware cost under $5,000 (based on U.S. market prices).The design emphasizes modularity and ease of fabrication.To address the inherent limitations of 3D-printed gearboxes, such as reduced strength and durability compared to metal alternatives, we adopted a cycloidal gear design, which provides an optimal form factor in this context.Extensive testing was conducted on the 3D-printed actuators to validate their durability and alleviate concerns about the reliability of plastic components.To demonstrate the capabilities of Berkeley Humanoid Lite, we conducted a series of experiments, including the development of a locomotion controller using reinforcement learning.These experiments successfully showcased zero-shot policy transfer from simulation to hardware, highlighting the platform's suitability for research validation.By fully open-sourcing the hardware design, embedded code, and training and deployment frameworks, we aim for Berkeley Humanoid Lite to serve as a pivotal step toward democratizing the development of humanoid robotics.

Authors

Institutions

Publication Details

Published
2025-06-21
DOI
https://doi.org/10.15607/rss.2025.xxi.062
Citations
6
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
4.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot

Qiayuan Liao, Junfeng Long, Borivoje Nikolić, Yufeng Chi et al.
6 citations
Modular Robots and Swarm Intelligence
4.28
article

Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot

Qiayuan Liao, Junfeng Long, Borivoje Nikolić, Yufeng Chi, Koushil Sreenath, Xiaoyu Huang, Zhongyu Li, Sophia Shao
article en
6 citations

Abstract

Despite significant interest and advancements in humanoid robotics, most existing commercially available hardware remains high-cost, closed-source, and non-transparent within the robotics community.This lack of accessibility and customization hinders the growth of the field and the broader development of humanoid technologies.To address these challenges and promote democratization in humanoid robotics, we demonstrate Berkeley Humanoid Lite, an open-source humanoid robot designed to be accessible, customizable, and beneficial for the entire community.The core of this design is a modular 3D-printed gearbox for the actuators and robot body.All components can be sourced from widely available e-commerce platforms and fabricated using standard desktop 3D printers, keeping the total hardware cost under $5,000 (based on U.S. market prices).The design emphasizes modularity and ease of fabrication.To address the inherent limitations of 3D-printed gearboxes, such as reduced strength and durability compared to metal alternatives, we adopted a cycloidal gear design, which provides an optimal form factor in this context.Extensive testing was conducted on the 3D-printed actuators to validate their durability and alleviate concerns about the reliability of plastic components.To demonstrate the capabilities of Berkeley Humanoid Lite, we conducted a series of experiments, including the development of a locomotion controller using reinforcement learning.These experiments successfully showcased zero-shot policy transfer from simulation to hardware, highlighting the platform's suitability for research validation.By fully open-sourcing the hardware design, embedded code, and training and deployment frameworks, we aim for Berkeley Humanoid Lite to serve as a pivotal step toward democratizing the development of humanoid robotics.

University of California, Berkeley (US)
Openalex Percentile: Top 5%
Modular Robots and Swarm Intelligence
4.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.