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RE SERIES · EMBODIED INTELLIGENCE EDUCATION

An End-to-End Embodied AI Solution for Education and Research

From your first dexterous hand to your first research algorithm

With unified hardware interfaces, a progressive software ecosystem, and a complete curriculum, HeymanDex connects K-12 mechatronics discovery, university lab teaching, and research-grade embodied AI development.

K-12 → UniversityOne Continuous Path
8 / 16 DOFTiered Hardware
ROS2Research Ecosystem
3 StagesCurriculum
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VIDEO

Solution Video

WHY A SYSTEM, NOT A DEVICE

Education Takes More Than a Device

Isolated hardware, fragmented software, and a missing curriculum leave labs stuck with equipment — but no answer to what to teach, how to teach it, or how to keep the research going.

01 / HARDWARE

The Hardware Gap

Entry-level devices can't support research, while high-DOF systems overwhelm beginners. The learning path lacks continuity.

02 / SOFTWARE

Disconnected Hardware and Software

Block programming, SDKs, simulation, and real-robot control each follow a different logic, forcing students to rebuild their toolchain at every step forward.

03 / CURRICULUM

No Ready-to-Teach Curriculum

A manual alone — without task sheets, case studies, assessments, or a progressive course design — can't turn hardware into reliable teaching capability.

PRODUCT MATRIX

From Mechatronics Basics to 16-DOF Research

RE50 and RE100 share the same software logic, so students move naturally from "build it, move it" to "read data, write algorithms, run research."

RE50 · Education Starter

Mechatronic Assembly & Block Programming

Built for beginners and K-12 education, RE50 combines mechanical assembly, 3D-printed shells, motion recording, and Blockly block programming in one achievable project.

  • Ready out of the box — built-in motions deliver instant wins
  • Custom STL shell design and 3D printing
  • Web-based Blockly for motion sequencing and logic programming
8 DOFActive DOF
5VLow-Voltage Power
BlocklyBlock Programming
RE100 · University Research

16 DOF & Embodied AI

Built for universities and research labs, RE100 opens joint-level control and data readback, supporting skeletal mapping, trajectory planning, reinforcement learning, and multi-finger coordination research.

  • Monocular-camera 21-keypoint hand-skeleton tracking
  • Open C++ / Python SDK and serial protocol
  • ROS2 URDF, MoveIt2, and physics modeling support
16 DOFActive DOF
±0.5mmRepeatability
ROS2Research Integration
RE Series hardware, software, and curriculum in one integrated ecosystem

HARDWARE · SOFTWARE · CURRICULUM

Three in One, Ready Out of the Box

No more disconnect between hardware, software, and lesson plans in traditional university labs. Devices, toolchains, and curriculum are designed around the same competency goals — less re-integration, less trial and error.

  • Hardware: tiered RE50 / RE100 platforms with standard interfaces
  • Software: Blockly, console, SDK, ROS2, and simulation
  • Curriculum: task sheets, lab cases, assessments, and teacher support
Dexterous hand control software interface

ONE LOGIC, GROWING DEPTH

One Software Logic, Progressive Depth

From dragging virtual sliders and recording motions to reading joint data, mapping hand skeletons, and planning trajectories, learners keep advancing within the same control model.

  • RE50: graphical motion control and basic programming logic
  • RE100: cross-platform SDK with real-time data readback
  • Advanced: visual tracking, teleoperation, and end-to-end policy research

THREE-STAGE CURRICULUM

A Three-Stage Curriculum That Builds on Itself

Course difficulty rises in step with hardware capability — every stage ends in a finished project and opens a clear door to the next.

PHASE 01 · Discovery

Meet a Robotic Hand

Assemble the mechanics, wire the electronics, and run button-triggered motions and basic gestures while learning about joints, actuators, and feedback loops.

PHASE 02 · Development

Turn Motions into Programs

Use Blockly to design motion sequences, conditional logic, and compound tasks — validated in 3D simulation.

PHASE 03 · Research

Bring Algorithms into the Real World

Use Python/C++, ROS2, and MoveIt2 for visual tracking, trajectory planning, multi-finger control, and embodied AI research.

FOUR PRACTICE STUDIOS

Four Practice Studios, One Closed-Loop Training System

Spaces and courses organized around real job competencies, so assembly, development, data, and models are no longer isolated modules.

01 / ASSEMBLY

Assembly & Maintenance Studio

Mechanical assembly standards, electrical wiring, serial-bus diagnostics, device commissioning, and troubleshooting.

02 / DEVELOPMENT

Application Development Studio

Trajectory planning, ROS2 programming, machine-vision feedback, and hand-eye coordination applications.

03 / DATA

Data Acquisition Studio

Teleoperation trajectory recording, motion data capture, data cleaning, quality checks, and annotation.

04 / FOUNDATION MODEL

Foundation Model Applications Studio

Multimodal VLM integration, end-to-end joint control, policy fine-tuning, and deployment on real hardware.

Embodied AI training lab — complete solution

LAB DELIVERY

Embodied AI Practice & Application Lab

We deliver more than equipment — a ready-to-teach space, curriculum, and services, including a 40 m² smart classroom, a 10 m² teaching demo area, and 12 dual workstations.

  • One-stop planning of layout, workstations, and demo areas
  • Hardware and software deployment, curriculum onboarding, and teacher training
  • Ongoing support for lab assignments, competitions, and research projects

The breakthrough of embodied AI begins with the first line of control-mapping code written in today's classroom.

From a single course lab to a full embodied AI training facility, HeymanDex tailors the solution to your discipline, class size, and research goals.