reBot × Embodied Intelligence

8 Stages, 40 Chapters — free and hands-on

A free, hands-on guide to building and learning with the 100% open-source reBot robotic arm. Stage 1 covers basic concepts, hardware, and equipment preparation.

Course structureCourse designCommunity

Course at a glanceWritten and shared for free by the Seeed robotics team.Pairs with the 100% open-source, reproducible reBot robotic arm.

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This course was created and shared for free by the Seeed Studio AI Robotics team, to give robotics learners, students, job seekers, and makers a clear and systematic learning path. You are welcome to learn from it and share it with others, but unauthorized copying, commercial redistribution, or misuse of the content is prohibited — the copyright belongs to Seeed Studio (Shenzhen) Co., Ltd.

It is built around reBot, a 100% open-source, commercially usable and reproducible robotic arm, and combines theory with hands-on practice to cover robotic arm control, traditional robotics algorithms, and modern VLA-based embodied AI. The course is completely free — if you find it useful, please support the project by starring reBot-DevArm on GitHub ⭐, where the hardware drawings, BOM files, and other open-source resources are also available. Experienced users can go straight to our Robotics Wiki for tutorials and examples. The focus is practical understanding rather than deep mathematical derivation, so you can build a solid foundation quickly and prepare for more advanced study.

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Design

Course Design Principles

This course uses the reBot Arm B601-DM and B601-RS as practical platforms, combining robotic arm theory, robotics learning theory, and real hardware practice. The course outline is as follows:

Structure

Course Structure

Stage 1: Basic Concepts and Equipment Preparation

1

Getting to Know Robots and Embodied IntelligenceChapter 1

Theory2

Getting to Know reBot Arm Hardware and the Open-Source ProjectChapter 2

Theory & Practice3

Hardware Selection for Subsequent CoursesChapter 3

Theory & Practice

Stage 2: Robotic Arm Assembly and Basic Control

4

Fundamentals of Robotic Arms and Joint ActuatorsChapter 4

Theory5

CAN Bus and Motor CommunicationChapter 5

Theory6

Assembly, Power Supply, and First Power-OnChapter 6

Practice7

MotorBridge Motor Control LibraryChapter 7

Practice8

Controlling reBot Arm Using Python SDKChapter 8

Theory & Practice

Stage 3: Imitation Learning and LeRobot

9

Foundations of Robot Learning and Imitation LearningChapter 9

Theory & Practice10

LeRobot and reBot Arm System ArchitectureChapter 10

Theory11

Leader and Follower Calibration and TeleoperationChapter 11

Practice12

Robot Datasets and Task DesignChapter 12

Theory13

Camera Configuration and LeRobot Data CollectionChapter 13

Practice14

Dataset Structure and Quality InspectionChapter 14

Theory & Practice15

ACT Model and Action ChunkingChapter 15

Theory16

Training Your First ACT PolicyChapter 16

Practice17

Real-Robot Inference, Evaluation, and Data IterationChapter 17

Theory & Practice

Stage 4–8

note

Coming soon — the remaining stages will be added to the wiki progressively.