Papers
Topics
Authors
Recent
2000 character limit reached

Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot (2504.17249v1)

Published 24 Apr 2025 in cs.RO

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. All resources are available at https://lite.berkeley-humanoid.org.

Summary

An Analysis of Berkeley Humanoid Lite: Accessible, Open-Source Robotics

The paper "Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot" presents a significant contribution to the field of humanoid robotics by introducing an innovative open-source platform that attempts to address critical barriers in accessibility and customization. The authors have shared a promising approach by utilizing a modular 3D-printed design to offer a cost-effective solution for the broader robotics community.

The core achievement is the introduction of Berkeley Humanoid Lite, an affordable robotic platform with a total hardware cost capped at $5,000. This cost-effectiveness is accomplished through the use of readily available components and standard desktop 3D printing technology. The design encompasses modularity, ensuring ease of fabrication and a potential for customization that is often lacking in commercial alternatives. A cycloidal gear design mitigates the typical drawbacks associated with plastic components, such as reduced strength, to sustain durability.

The experiments feature reinforcement learning-based locomotion, demonstrating zero-shot policy transfers from simulation to hardware. This validates the platform's utility for research in reinforcement learning and robotic manipulation, showcasing its adaptability and reliability.

Numerical and Experimental Findings

Key numerical results demonstrate the performance advantages of the cycloidal gearbox design. The gearbox achieves a mechanical efficiency of approximately 90%, sustaining high efficiency across operational conditions. Meanwhile, actuator transmission stiffness maintains consistent performance, evidenced by its measured value of around 319.49 Nm/rad.

The robustness of the platform is validated through a 60-hour durability test, which highlights the reliability of 3D-printed actuators. During this test, efficiency and backlash measurements remained stable, suggesting practical long-term viability despite the intrinsic material limitations. The paper further showcases consistent actuator performance across samples printed on different machines, emphasizing the reliability and precision of the design.

Implications for Research and Education

Berkeley Humanoid Lite holds potential for various extensions, particularly in education and animatronics. Its open-source actuator design could serve as an effective teaching module in engineering and robotics curricula, offering students hands-on engagement with mechatronic systems. Consequently, the platform may facilitate better understanding of actuator designs, control algorithms, and robotic assembly and testing.

Additionally, the humanoid platform could be adoptable in animatronics, appealing particularly to entertainment applications. Its modularity and cost-efficiency could enable creative expressions and interactions within animated robotic characters, expanding the domain of human-robot interaction.

Speculations for Future Developments

In exploring potential future developments, the effectiveness of Berkeley Humanoid Lite suggests that similar open-source platforms could catalyze innovation in humanoid robotics research and industrial application. Broader dissemination of the design and refinement could enable researchers to evaluate and enhance robotic components systematically, particularly in adaptive control, machine learning, and dynamic human-robot interaction.

In conclusion, Berkeley Humanoid Lite represents a benchmark in open-source humanoid robotics, encouraging participation and collaboration within the research community. By overcoming traditional constraints of cost and accessibility, it promises a new trajectory for exploration in robotics education, research, and innovation.

Whiteboard

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 6 tweets with 170 likes about this paper.