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This paper introduces a low-cost (\$1300) bimanual mobile manipulator based on the XLeRobot platform, designed for research and education. The system features an optimized mechanical design for stiffness, a Tri-Bus power topology to isolate compute, and an NVIDIA Jetson Orin Nano for onboard autonomy. The integrated system enables untethered teleoperation, SLAM navigation, and vision-based manipulation.
A complete, GPU-accelerated bimanual mobile manipulation platform can be built for under $1300, opening up robotics research and education to a wider audience.
We present a bimanual mobile manipulator built on the open-source XLeRobot with integrated onboard compute for less than \$1300. Key contributions include: (1) optimized mechanical design maximizing stiffness-to-weight ratio, (2) a Tri-Bus power topology isolating compute from motor-induced voltage transients, and (3) embedded autonomy using NVIDIA Jetson Orin Nano for untethered operation. The platform enables teleoperation, autonomous SLAM navigation, and vision-based manipulation without external dependencies, providing a low-cost alternative for research and education in robotics and robot learning.
