ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation Article Swipe
YOU?
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· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.00893
Learning-based robotics research driven by data demands a new approach to robot hardware design-one that serves as both a platform for policy execution and a tool for embodied data collection to train policies. We introduce ToddlerBot, a low-cost, open-source humanoid robot platform designed for scalable policy learning and research in robotics and AI. ToddlerBot enables seamless acquisition of high-quality simulation and real-world data. The plug-and-play zero-point calibration and transferable motor system identification ensure a high-fidelity digital twin, enabling zero-shot policy transfer from simulation to the real world. A user-friendly teleoperation interface facilitates streamlined real-world data collection for learning motor skills from human demonstrations. Utilizing its data collection ability and anthropomorphic design, ToddlerBot is an ideal platform to perform whole-body loco-manipulation. Additionally, ToddlerBot's compact size (0.56m, 3.4kg) ensures safe operation in real-world environments. Reproducibility is achieved with an entirely 3D-printed, open-source design and commercially available components, keeping the total cost under 6,000 USD. Comprehensive documentation allows assembly and maintenance with basic technical expertise, as validated by a successful independent replication of the system. We demonstrate ToddlerBot's capabilities through arm span, payload, endurance tests, loco-manipulation tasks, and a collaborative long-horizon scenario where two robots tidy a toy session together. By advancing ML-compatibility, capability, and reproducibility, ToddlerBot provides a robust platform for scalable learning and dynamic policy execution in robotics research.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.00893
- https://arxiv.org/pdf/2502.00893
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407124430
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407124430Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.00893Digital Object Identifier
- Title
-
ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-ManipulationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-02Full publication date if available
- Authors
-
Haochen Shi, Weizhuo Wang, Shuran Song, C. Karen LiuList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.00893Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2502.00893Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2502.00893Direct OA link when available
- Concepts
-
Open source, Open platform, Humanoid robot, Computer science, Operating system, Human–computer interaction, Artificial intelligence, Software, RobotTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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