About Muhua Juchuang
Muhua Juchuang (iRobot Move Faster) focuses on industrial production logistics, combining AI, work robots, autonomous forklifts, tractors, trucks, AI dispatching and field delivery into practical, maintainable and scalable solutions.
Vehicle, road, cloud and scenario integration
Models, simulation and site data help validate routes, rhythm and boundaries before rollout.
Company Snapshot
The core team covers industrial vehicles, intelligent manufacturing, supply chain operations, autonomous-driving algorithms and large-scale project delivery, helping factories move from manual logistics to schedulable, traceable and repeatable unmanned logistics.
Capabilities
We align algorithms, hardware, dispatching platforms and implementation into one delivery logic, making unmanned logistics a long-running system rather than a single vehicle purchase.
We build perception, localization, planning, control, fleet dispatching and safety capabilities around unmanned forklifts, tractors and logistics vehicles.
We start with workflows, yard layout, traffic organization, loading rhythm and safety boundaries to define the real site problem.
We cover mapping, deployment, commissioning, trial operation, training and acceptance to move plans into stable production.
Operational data, issue tracking and version iteration help improve efficiency, stability and safety policies over time.
Cooperation Modes
According to budget, asset strategy, site complexity and operating goals, we support equipment sales, project delivery and service-based logistics cooperation.
Customers purchase vehicles and platforms while Muhua handles solution design, deployment and training.
A closed delivery loop covering survey, route design, simulation, integration, trial operation and acceptance.
Supports service-based logistics cooperation according to asset strategy, budget rhythm and operational KPIs.
Project Method
Industrial logistics sites often involve mixed traffic, changing loading rhythms, limited road space and overlapping human operations. We focus on stability under real conditions and reduce rollout risk through staged delivery.
Confirm routes, loading points, people flow, equipment boundaries and safety risks.
Model workflows and define vehicle mix, dispatching strategy, traffic layout and rollout plan.
Validate efficiency, stability, obstacle avoidance and exception handling on representative routes.
Launch by areas, complete integration, training, acceptance and handover.
Use operating data to refine dispatching rules, station layout and vehicle versions.
Service Scenarios
Across production, warehousing, yards, loading and cross-zone transfer, we help customers build unmanned, traceable and dispatchable logistics networks step by step.
Our Principles
We care less about demos and more about stable operation under real roads, real cargo and real shifts.
Mixed traffic, blind spots, loading areas, emergency lanes and exception stops are treated as core constraints.
Task data, vehicle data and exception records feed continuous process optimization.
From acceptance to later expansion, we help customers make unmanned logistics part of everyday operations.
