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YOR: Your Own Mobile Manipulator for Generalizable Robotics

Manan H Anjaria, Mehmet Enes Erciyes, Vedant Ghatnekar, Neha Navarkar, Haritheja Etukuru, Xiaole Jiang, Kanad Patel, Dhawal Kabra, Nicholas Wojno, Radhika Ajay Prayage, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui

TL;DR

YOR presents an open-source, cost-efficient mobile manipulator that combines an omnidirectional base, a telescopic lift, and dual compliant arms to enable whole-body manipulation at under $10{,}000. By integrating a swerve-base, a capable vertical lift, and two PiPER arms with compliant control, YOR supports both teleoperation and autonomous manipulation, and it is paired with a visual-inertial SLAM and voxel-based mapping stack for robust indoor navigation. The paper demonstrates YOR’s capabilities through whole-body teleoperation, an imitation-learning policy for bimanual tasks, and SLAM-based navigation with dynamic obstacle avoidance, highlighting practical performance metrics such as loop-closure accuracy around 12 mm, end-effector stability within about 16 mm during base motion, and replanning within ~1 s in dynamic scenarios. Collectively, YOR offers a scalable, low-cost platform that enables broad mobile manipulation research, with an open-source hardware/software package to accelerate community collaboration and rapid iteration in home-like environments.

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/

YOR: Your Own Mobile Manipulator for Generalizable Robotics

TL;DR

YOR presents an open-source, cost-efficient mobile manipulator that combines an omnidirectional base, a telescopic lift, and dual compliant arms to enable whole-body manipulation at under $10{,}000. By integrating a swerve-base, a capable vertical lift, and two PiPER arms with compliant control, YOR supports both teleoperation and autonomous manipulation, and it is paired with a visual-inertial SLAM and voxel-based mapping stack for robust indoor navigation. The paper demonstrates YOR’s capabilities through whole-body teleoperation, an imitation-learning policy for bimanual tasks, and SLAM-based navigation with dynamic obstacle avoidance, highlighting practical performance metrics such as loop-closure accuracy around 12 mm, end-effector stability within about 16 mm during base motion, and replanning within ~1 s in dynamic scenarios. Collectively, YOR offers a scalable, low-cost platform that enables broad mobile manipulation research, with an open-source hardware/software package to accelerate community collaboration and rapid iteration in home-like environments.

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/
Paper Structure (35 sections, 4 equations, 11 figures, 1 table)

This paper contains 35 sections, 4 equations, 11 figures, 1 table.

Figures (11)

  • Figure 1: YOR is an open-source mobile manipulator combining an omnidirectional base, a lift, and two arms. YOR provides the dexterity and reach necessary for real-world tasks without the complexity of legged systems and the high cost of mobile manipulators on the market.
  • Figure 2: Comparison of different mobile manipulators with YOR: Tidybot++ wu2024tidybot++ relies on a single arm with no vertical control. XLeRobot wang2025xlerobot is impressively low cost but its payload and reach limits its use cases. Due to its large footprint and non-holonomic base, Mobile ALOHA fu2024mobilealoha has limited navigation capability. RBY1-A rainbow2024rby1 and similar options on the market have many similar features to YOR but come with almost an order of magnitude higher price tag.
  • Figure 3: YOR is designed using off-the-shelf components in a modular configuration, with a total bill-of-materials cost of US$9,250, the majority coming from the robot arms.
  • Figure 4: Internal layout of the mobile base following a "heavy base" philosophy. High-density components (battery, compute, and power distribution) are mounted centrally at the lowest elevation to lower the center of mass, flanked by four corner-mounted swerve modules.
  • Figure 5: A teleoperated YOR completes daily tasks in home environments with its extended workspace and bimanual arms. In these tasks, we teleoperate YOR to open a dishwasher and use its mobile base to load and close it. YOR can also use the lift to lower its height and water plants or pick up a basket from the ground.
  • ...and 6 more figures