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Research PaperResearchia:202602.12002[Data Science > Machine Learning]

YOR: Your Own Mobile Manipulator for Generalizable Robotics

Manan H Anjaria

Abstract

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, combined with the commoditization of actuators, has propelled growth in low-cost robotic platforms. However, the optimal form factor for mobile manipulation, especially on a budget, remains an open question. We introduce YOR, an open-source, low-cost mobile manipulator that integrates an omnidirectional base, a telescopic vertical lift, and two arms with grippers to achieve whole-body mobility and manipulation. Our design emphasizes modularity, ease of assembly using off-the-shelf components, and affordability, with a bill-of-materials cost under 10,000 USD. We demonstrate YOR's capability by completing tasks that require coordinated whole-body control, bimanual manipulation, and autonomous navigation. Overall, YOR offers competitive functionality for mobile manipulation research at a fraction of the cost of existing platforms. Project website: https://www.yourownrobot.ai/


Source: arXiv:2602.11150v1 - http://arxiv.org/abs/2602.11150v1 PDF: https://arxiv.org/pdf/2602.11150v1 Original Link: http://arxiv.org/abs/2602.11150v1

Submission:2/12/2026
Comments:0 comments
Subjects:Machine Learning; Data Science
Original Source:
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arXiv: This paper is hosted on arXiv, an open-access repository
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