Draft:Open-Source Leg
Submission declined on 6 December 2025 by Aplucas0703 (talk).
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Submission declined on 15 September 2025 by Royiswariii (talk). This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice.
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Submission declined on 29 August 2025 by Pythoncoder (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content.
Declined by Pythoncoder 11 months ago.LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information. |
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Comment: Please do not remove past AfC decline templates. These are left for future reviewers so that they can review your draft and check that any prior concerns have been addressed. Removing these templates can make it more difficult for your draft to be accepted. Thank you. --Gurkubondinn 02:26, 19 May 2026 (UTC)
Comment: This shows the hallmarks of artificial intelligence writing. I concur with others that this shows clear signs of AI writing and should not be accepted. Including the rule of three, superficial notability analysis, excessive lists, and hosts of other small signs, especially structural elements of the article. aaronneallucas (talk) 04:27, 6 December 2025 (UTC)
Comment: This still feels like it might be AI. Lots of suspicious sentences like "A public forum facilitates discussion and troubleshooting" and "The project has received coverage from international media, including Economy Chosun, which highlighted...", and too many bulleted lists. —pythoncoder (talk | contribs) 02:54, 6 December 2025 (UTC)
| Open-Source Leg | |
|---|---|
| Developer | Elliott J. Rouse |
| Release | October 2020 |
| Stable release | 2.5
/ July 2024 |
| Written in | Python, C |
| Operating system | Linux, ROS 2 |
| License | GPLv3 (software) Apache 2.0 (hardware) |
| Website | https://opensourceleg.org |
| Repository | https://github.com/neurobionics/opensourceleg |
The Open-Source Leg (OSL) is an open-source robotic knee–ankle prosthesis used in research on powered lower-limb prosthetics, gait biomechanics, and wearable robotics. The platform provides openly licensed mechanical designs, electronics schematics, firmware, and software tools intended to support reproducible experimentation and cross-laboratory comparison.[1]
The OSL was developed to address the lack of standardized research platforms for powered prosthetic legs. Prior to its introduction, laboratories typically built custom robotic leg systems, a process requiring substantial engineering resources and limiting comparability across studies.[2][3][4][5][6][7] Reviews of prosthetic technologies have noted that differences in hardware design can influence controller performance, complicating interpretation of results across research groups.[8][9]
History
The OSL was first described scientifically in 2018 at the IEEE BioRob Conference, which presented the initial mechanical design and characterization of the system.[1] A subsequent publication in 2020 in Nature Biomedical Engineering provided a detailed description of the platform’s architecture and early evaluation.[10]
The system has since been used in research involving musculoskeletal modeling,[11] sensor-fusion methods for gait prediction,[12] and functional mobility training with powered prostheses.[13]
Design
Hardware
The OSL consists of modular powered knee and ankle joints that share a common mechanical structure. The system uses high‑torque exterior‑rotor motors originally developed for aerial robotics, enabling lower transmission ratios than those used in many earlier prosthetic research platforms.[7] Lower transmission ratios improve backdrivability and reduce passive impedance, supporting more natural interaction between the user and device.
Both joints can be configured as rigid actuators or as series‑elastic actuators with selectable stiffness values, allowing investigation of compliant actuation and energy‑storage strategies.[14][15] Integrated sensing includes magnetic encoders, six‑axis load cells, and inertial measurement units.
Mechanical designs are maintained in a cloud‑based CAD environment, enabling version control and collaborative development.
Software
The OSL software ecosystem includes embedded firmware, mid‑level joint controllers, and a high‑level Python SDK. Firmware manages motor control, sensor sampling, filtering, and safety monitoring. Mid‑level controllers support torque, position, and impedance control, drawing on established impedance‑control principles.[16]
The Python SDK provides tools for real‑time control, data logging, visualization, and integration with ROS 2. The software is distributed through GitHub and PyPI, with automated testing and continuous integration.[17]
The platform supports both Dephy and T‑Motor actuator variants, enabling researchers to select between cost and ease of integration.
Research use
The OSL has been used in studies involving:
- torsion‑spring and elastic actuation strategies[6]
- powered knee–ankle control evaluation[13]
- impedance‑based prosthesis control modeling[18]
- system identification of wearable robotic actuators[19]
- OpenSim musculoskeletal modeling using the OSL[11]
- sensor‑fusion methods for gait prediction[12]
Reviews of open-source medical devices have cited the OSL as an example of collaborative, transparent hardware development in rehabilitation robotics.[20][21]
Community
The OSL ecosystem includes CAD models, electronics schematics, firmware, software libraries, documentation, and a public discussion forum. Research groups internationally use the platform for prosthetics research, gait analysis, and wearable robotics.
Open-source medical device research has emphasized the importance of community-driven development, transparent design files, and reproducibility, themes reflected in the OSL project.[20][21]
See also
References
- ^ a b Azocar, A. F.; Mooney, L. M.; Hargrove, L. J.; Rouse, E. J. (2018). "Design and characterization of an open-source robotic leg prosthesis". Proc IEEE Int Conf Biomed Robot Biomechatronics (BioRob).
- ^ Lawson, B. E. (2014). "A robotic leg prosthesis: design, control, and implementation". IEEE Robot Autom Mag.
- ^ Tran, M. (2022). "A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint". Sci Robot.
- ^ Thatte, N. (2019). "Robust and adaptive lower limb prosthesis stance control". IEEE Robot Autom Lett.
- ^ Gehlhar, R. (2022). "Powered prosthesis locomotion on varying terrains". IEEE Robot Autom Lett.
- ^ a b Carney, M. E. (2021). "Reaction force series elastic actuator for bionic knee and ankle prostheses". IEEE Trans Med Robot Bionics.
- ^ a b Elery, T. (2020). "Powered knee-ankle prosthesis with high-torque, low-impedance actuators". IEEE Trans Robot.
- ^ Asif, M. (2021). "Advancements, trends and future prospects of lower limb prosthesis". IEEE Access.
- ^ Tucker, M. R. (2015). "Control strategies for active lower extremity prosthetics and orthotics". J Neuroeng Rehabil.
- ^ Azocar, A. F. (2020). "Design and clinical implementation of an open-source bionic leg". Nature Biomedical Engineering.
- ^ a b Camargo, J. (2022). "OpenSim model for biomechanical analysis with the Open-Source Bionic Leg". International Symposium on Medical Robotics (ISMR).
- ^ a b Krausz, N. E. (2021). "Sensor fusion for forward prediction during walking with a transfemoral prosthesis". IEEE Trans Med Robot Bionics.
- ^ a b Finucane, S. B. (2022). "Functional mobility training with a powered knee and ankle prosthesis". Frontiers in Rehabilitation Sciences.
- ^ Pratt, G. A.; Williamson, M. M. (1995). "Series elastic actuators". Proc IEEE/RSJ Int Conf Intell Robot Syst.
- ^ Rouse, E. J. (2014). "Clutchable series-elastic actuator: implications for prosthetic knee design". Int J Robot Res.
- ^ Hogan, N. (1985). "Impedance control—an approach to manipulation". J Dyn Syst Meas Control.
- ^ "Python Package Index".
- ^ Bolívar-Nieto, E. A. (2021). "Powered prosthesis control modeling". Mechatronics.
- ^ Shetty, V. S. (2022). "System identification for wearable robotic actuators". IEEE Robot Autom Lett.
- ^ a b Baldwin, J. R. (2025). "Open-source medical device development: current state and review". Ann Biomed Eng.
- ^ a b Neinstein, A. (2016). "A case study in open source innovation: the Tidepool platform". J Am Med Inform Assoc.
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See the advice page on large language models for more information.