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(basedonU.S.marketprices).Thedesignemphasizesmodularityandeaseoffabrication.Toaddresstheinherentlimitationsof3D−printedgearboxes,suchasreducedstrengthanddurabilitycomparedtometalalternatives,weadoptedacycloidalgeardesign,whichprovidesanoptimalformfactorinthiscontext.Extensivetestingwasconductedonthe3D−printedactuatorstovalidatetheirdurabilityandalleviateconcernsaboutthereliabilityofplasticcomponents.TodemonstratethecapabilitiesofBerkeleyHumanoidLite,weconductedaseriesofexperiments,includingthedevelopmentofalocomotioncontrollerusingreinforcementlearning.Theseexperimentssuccessfullyshowcasedzero−shotpolicytransferfromsimulationtohardware,highlightingtheplatform′ssuitabilityforresearchvalidation.Byfullyopen−sourcingthehardwaredesign,embeddedcode,andtraininganddeploymentframeworks,weaimforBerkeleyHumanoidLitetoserveasapivotalsteptowarddemocratizingthedevelopmentofhumanoidrobotics.AllresourcesareavailableatthishttpsURL.
@article{chi2025_2504.17249,
title={ Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot },
author={ Yufeng Chi and Qiayuan Liao and Junfeng Long and Xiaoyu Huang and Sophia Shao and Borivoje Nikolic and Zhongyu Li and Koushil Sreenath },
journal={arXiv preprint arXiv:2504.17249},
year={ 2025 }
}