Case study / 2024

LingGou EduBot

A modular educational robot for expressive, low-barrier STEAM learning.

White modular LingGou EduBot assembled into a tall expressive form on a STEAM learning table.
Role
Product Manager
Team
Cross-functional team of 5
Duration
Sep 2023–Sep 2024
Platform
Educational robotics / ROS

Project context

Overview

LingGou EduBot is a modular educational robot developed for hands-on STEAM learning at home and in school. The team combined flexible robotics, education expertise, and business strategy; I served as product manager and owned the path from opportunity framing to product definition.

The project focused on children aged 7–10 and proposed snap-fit modules with built-in power and communication, allowing expressive structures without wiring or technical setup.

Research direction

Key Insight

A questionnaire with 205 Beijing parents found strong interest in technology and robotics, while observation of a coding workshop showed a gap between enthusiasm and the rigidity of available learning tools. The primary users were children, but adoption depended equally on parents and educators.

The product had to balance three needs at once: creative independence for children, clear learning value for educators, and safety and trust for parents.

Key insight

What shaped the work

Design Decisions

I positioned LingGou between simple robot toys and curriculum-heavy coding kits. Four principles guided the strategy: a low barrier to start, open-ended modularity, expressive feedback, and parent-approved safety.

Process

The MVP turns the strategy into a product contract for the whole team.
Section views and assembly sketches for the LingGou modular robot joint.
Feasibility detailThe joint study explored how inner and outer rings could support snap-fit assembly and release.

How it works

Prototype & Experience

The team aligned on a focused MVP and used a ROS development environment to explore the robot’s movement and modular configuration. The physical concept and product strategy were advanced together so the learning promise remained connected to engineering feasibility.

The five-person LingGou EduBot team at the 2024 Challenge Cup finals.
Cross-functional teamRobotics engineering, education, business strategy, and product management came together for the Challenge Cup finals.

What changed

Outcome & Reflection

The project received 100,000 CNY in national innovation funding and a Gold Award at the 2024 Challenge Cup. More important for my practice, it showed how product language can connect technical constraints, educational value, and business adoption across disciplines.