XLeRobot SO-ARM101 Mobile Robot Parts (XLeRobot Expansion Kit + Chassis + Cart + Raspberry Pi 5)

XLeRobot SO-ARM101 Mobile Robot Parts (XLeRobot Expansion Kit + Chassis + Cart + Raspberry Pi 5)

Attention:
* The 3D printed parts and cart are available in black or white.
* The robot arm comes with the company logo by default. If you do not need the logo, please contact customer service.
* Due to the large packaging volume after full assembly and the risk of wires breaking, we pre-assemble the most time-consuming parts: bottom layer of the cart + LeKiwi chassis + top camera tower. The remaining large parts will require you to disassemble slightly for light assembly and wiring.

Suitable Users:
* School & Research Institutions: From vocational schools to top university laboratories, researchers can use this modular platform to quickly enter robotic development.
* Startup Teams: Validate mobile-manipulation prototypes at the lowest hardware cost among global peers, shortening technical iteration cycles before fundraising.
* STEAM Educators & Learners: Bring cutting-edge embodied intelligence into the classroom and complete the full workflow from mechanical assembly and communication to reinforcement learning strategy deployment.
* DIY Makers & Creator Communities: Build functional dual-arm wheeled robots using open-source hardware and open APIs to create rapid demos for household tasks, sorting, inspection, and more.
* Independent Researchers: Provide a mobile experimental carrier for vision-language-action multi-modal models and reinforcement learning, tailored for individuals or small teams with limited budgets, and seamlessly connected to simulation frameworks such as ManiSkill.

Purchase Notes:
* Embodied intelligence is still in an intensive research stage and cannot complete complex household tasks "out of the box". This product is designed as a low-cost, general-purpose mobile dual-arm robot development platform for research and education, not a consumer-level home robot.
* Users should have basic knowledge of Linux command line, Git source management, and Python programming. Beginners may fill in the gaps through online learning resources.

Teaching Operation:
* In imitation-learning mode, the XLeRobot project provides multiple demonstration control methods, including keyboard, controller for Xbox, Joy-Con, and Quest 3 VR controller. A pair of leader arms can also be added for demonstration guidance, forming a four-arm kit with the dual follower arms.

Computing Requirements:
* Training and deploying VLA or reinforcement-learning models require considerable computing power. RTX 3060 or higher consumer GPUs or IDC cloud servers are recommended for training; NVIDIA Jetson Orin or Thor modules are recommended for on-device deployment. Advanced developers may explore RDK or other compute modules.
* When using a Raspberry Pi on the robot, the Raspberry Pi is only used to connect the camera and servos, acting as a bridge between the robot body and the computing unit. It collects data from the camera and servos, sends it over the network to the computing computer or server, and then receives the calculated commands to control the servos to perform the corresponding actions.

Packing List:
1. XLeRobot Expansion 3D Printed Parts:
* Base, main controller box, camera gimbal and support tower, 2MP camera, connection cables

2. LeKiwi Chassis:
* 12V servos*3, top plates*2, bottom plate*1, 100mm omnidirectional wheels*3, heightening supports*3, miscellaneous hardware

3. Trolley for IKEA:
* Bottom layer assembled with chassis

4. Raspberry Pi 5 Kit:
* Raspberry Pi 5 4GB + 64GB A2 TF card + heatsink + Micro HDMI-compatible cable + card reader

Packaging Details:
* Weight: 14KG

Note:
* Battery is not included.
* Other items pictured are not included, for demonstration purposes only. Thank you for your understanding!

Project Open Source Link:
https://xlerobot.readthedocs.io/en/latest/