Programmable Multi-module Orthogonal Automated Robot Arm

Polar coordinate type-2 axis P-Type

Z axis upright fixed type

Features: The type in which the Z axis (vertical axis) is installed upright on the X axis.

Use environment: It can be used in occasions such as inserting workpieces into shelves or lifting trays.

Notes: 1. The 2 axis is equipped with brakes as standard 2. The maximum stroke of the 2 axis is 500mm

Polar coordinate type-3 axis P-Type

Z axis upright fixed + Y axis slider fixed

Features: The slider of the Y axis is fixed on the Z axis slider mounting part, and the Z axis is upright fixed on the X axis

Use environment: Suitable for occasions such as inserting and moving workpieces into containers, or positioning and transporting them to walls

Notes: 1. The 2 axis is equipped with brakes as standard 2. The maximum stroke of the Z axis is 500mm

The following is a comprehensive technical introduction of the ‌Programmable Multi-module Orthogonal 

Automated Robot Arm FSKP‌ (based on modular design and integration of automated collaborative 

features):

🧩 ‌I. Core architecture and design features‌

‌Multi-module orthogonal coupling system‌

Adopting a distributed multi-CPU control architecture, each joint module is orthogonally spliced through

 standardized mechanical/electrical interfaces, supporting reconfigurable expansion from 6 degrees of 

freedom to N degrees of freedom‌ (such as dual-arm collaboration or humanoid robot form)‌

The module has a built-in ‌TI DSP processor‌ to achieve local intelligent decision-making, and the bus 

negotiation mechanism (CAN bus/Ethernet) ensures the real-time performance of multi-agent collabora

tive operations‌

‌Orthogonal motion optimization‌

The joint axes are distributed in a rectangular coordinate system to reduce singular point interference,

 improve spatial trajectory accuracy‌ (repeat positioning accuracy ±0.1mm), and adapt to precision 

assembly and multi-angle operations‌

The lightweight alloy frame is combined with an embedded shock-absorbing layer to suppress multi

-axis linkage resonance, and the continuous operation noise is ≤55dB‌

⚙️ ‌II. Key performance parameters‌

‌Parameters‌ ‌Specifications‌

‌Maximum load‌ Single arm ≤10kg / Collaborative mode ≤20kg

‌Working radius‌ 0.8–1.5m (expandable)

‌Repeat positioning accuracy‌ ±0.1mm (ISO 9283 standard)

‌Protection level‌ IP40 (semi-sealed, upgradeable to IP54)

‌Programming compatibility‌ ROS/CODESYS/PLCopen

‌Note‌: Load＞10kg requires dynamic torque compensation algorithm to prevent overload offset‌

🤖 ‌III. Technical advantages and application scenarios‌

‌Open programmable ecosystem‌

Supports ‌Visual C++/Python‌ secondary development, open kinematics library and sensor interface 

protocol, adapt to academic research and industrial customization needs‌

Quickly switch end effectors (gripper/visual camera/welding gun) through ‌module hot swap‌, and 

complete task reconstruction within 10 minutes‌

‌Typical application areas‌

‌Scenario‌ ‌Function realization‌

‌Laboratory collaborative research‌ Multi-robot collaborative path planning, AI algorithm verification 

platform

‌Flexible electronic assembly‌ PCB board precision plug-in, micro-component high-speed placement

‌Medical device assembly‌ Instrument classification and sterile packaging in a sterile environment (IP54 

protection optional)

‌Education and training platform‌ Robot kinematics/multi-body control algorithm teaching carrier

🔧 ‌Fourth, selection comparison and upgrade direction‌

‌Features‌ ‌FSKP (multi-module orthogonal arm)‌ ‌Traditional industrial robot arm‌

‌Reconstruction flexibility‌ ★★★★★ ★★☆☆☆

‌Development friendliness‌ Open SDK/multi-language support Closed system/dedicated script

‌Multi-machine collaboration cost‌ Bus direct connection reduces wiring complexity Additional central 

controller required

‌Accuracy adaptability‌ ±0.1mm (light load scenario) ±0.02mm (heavy load high precision)

The platform provides highly flexible automation solutions for scientific research and light industrial 

scenarios through ‌orthogonal modular architecture‌ and ‌distributed intelligence‌, especially for prototype

 development environments that require rapid iteration of tasks‌

The core advantages of the Programmable Multi-module Orthogonal Automated Robot Arm FSKP are 

as follows:

"Modular orthogonal architecture design"

Supports multi-axis parallel expansion, enabling flexible configurations of 6 to 12 axes through standar

dized interfaces. The orthogonal layout ensures independent motion between modules, achieving rep

eatability of ±0.02mm. The modular design supports hot-swappable replacement, improving maintena

nce efficiency by 40%.

"Multimodal Intelligent Collaboration"

The built-in RoboBrain 2.0 spatiotemporal reasoning engine supports cross-body collaboration and 

dynamic task planning, enabling simultaneous handling of complex tasks such as visual positioning and

 force-controlled assembly. Compatible with Franka Robotics' force control algorithm, it boasts a sensit

ivity of up to 0.1N.

"Full-scenario adaptability"

It boasts a working radius of 0.5-3m, a payload range of 5-50kg, and an IP65 protection rating suitable

 for both cleanroom and outdoor environments. A wide operating temperature range (-20°C to 80°C) 

ensures stability in extreme operating conditions.

Development-Friendly

Supports one-click deployment with RoboOS 2.0, offers dual SDKs in Python and C++, and comes with 

over 200 pre-installed standardized action templates in the Skill Store. Program complex trajectories 

with just three lines of command.

Open Ecosystem Support

Utilizes the MCP protocol for multi-machine cluster control, supporting collaboration with heterogen

eous devices such as Franka Robotics and UR. Open-source interfaces eliminate vendor adaptation 

barriers, shortening development cycles by 60%.

Programmable Multi-module Orthogonal Automated Robot Arm (Programmable Multi-module 

Orthogonal Automated Robot Arm) relies on its high precision, multi-axis linkage and modular design 

to be widely used in the following scenarios:

1. Industrial Manufacturing and Assembly

Precision assembly‌: Suitable for assembly tasks that require sub-millimeter precision such as electronic 

components and automotive parts, and achieve rapid positioning of complex structures through multi-

axis collaboration.

Spraying and surface treatment‌: For example, automatic spraying of furniture and metal parts, program

mable control of spray gun trajectory and speed to ensure uniform coating and save paint.

Material handling and palletizing‌: Realize high-speed grabbing, handling and stacking in logistics and 

warehousing, adapting to packaging boxes or goods of different specifications.

2. Scientific research and education

Laboratory automation‌: Used for repetitive operations such as biological sample packaging and chemic

al experiments to improve experimental efficiency and accuracy.

Teaching and R&D‌: As a teaching platform for robotics engineering, artificial intelligence and other 

majors, it supports algorithm verification such as kinematics and visual recognition.

Innovative application development‌: Combined with AI technology (such as ChatGPT) to achieve natural 

language control and lower the threshold for robot programming.

3. Special operations

Hazardous environment operations‌: Substituting manual inspection and maintenance tasks in nuclear 

radiation, high temperature or toxic environments.

Extreme scene applications‌: such as deep-sea exploration, equipment maintenance in space capsules, 

adaptable to structured or open environments.

4. Business services

New retail‌: Automatic replenishment and product grabbing of unmanned containers, combined with 

visual recognition to achieve intelligent interaction.

Medical assistance‌: Used for surgical instrument delivery, rehabilitation training, etc., and must meet 

high hygiene standards and safety requirements.

Its modular design (such as replaceable end effectors) and orthogonal structure (multi-axis independent 

motion) enable it to quickly adapt to different task requirements, and has potential from industrial 

assembly lines to cutting-edge scientific research fields.

Programmable multi-module orthogonal Automated Robot Arms (CAMs), commonly known as coordinate 

robots or gantry robots in industrial applications, achieve high-precision positioning and material handling 

within space through the combination of three mutually perpendicular (orthogonal) linear modules (X, Y, 

and Z axes).

In the smart factories of 2026, these robots, due to their high payload, long stroke, and flexible deployment 

characteristics, will become core equipment in automated stamping and precision assembly lines.

I. Core Technical Architecture

1. Cartesian Coordinate System: Utilizes linear motion along the X, Y, and Z axes to cover a cuboid workspace

, providing intuitive motion trajectories and a simple yet extremely precise control algorithm.

2. Multi-module Design: Users can select modules with different strokes (e.g., from 100mm to 10m) based 

on the available space, like "building blocks," supporting flexible combinations of single-axis, dual-axis 

(XY/XZ), or three-axis configurations.

3. Precision Drive System: Typically equipped with high-performance servo motors (such as the Huichuan 

SV680 series) and precision ball screws or synchronous belts, achieving a repeatability accuracy of ±0.01

mm - ±0.05mm.

II. Main Advantages

• High Rigidity and Load Capacity: Compared to articulated robots, orthogonal robots have a more stable 

structure, easily handling heavy sheet metal or molds weighing tens of kilograms or even several tons.

• Programming Flexibility: Programmable via PLC or motion controller (supporting EtherCAT bus), easily 

achieving point-to-point, linear, or circular interpolation motion.

• Low Maintenance Costs: Transparent structure, very simple maintenance of guide rails and lead screws, 

and high component interchangeability.

• High Space Utilization: Can be installed in a suspended or gantry style, without occupying ground working

 space.

III. Typical Application Scenarios in 2026

1. Automatic Feeding for Punch Presses: Working in conjunction with the previously mentioned FSKSD-80L 

electric cylinder, it precisely feeds sheet metal into the punch die and completes finished product retrieval 

and stacking.

2. Dispensing and Applying Adhesive: Enables complex path adhesive application in automotive electronics 

or mobile phone frame processing.

3. Semiconductor Sorting: Performs high-speed translation and sorting of wafers or chips in cleanroom 

environments.

4. Smart Warehousing: Serves as a miniaturized solution for stacker cranes in automated sorting warehouse.

IV. Technical Specifications Reference

• Travel: X-axis up to 6000mm+, Z-axis typically 500mm-1000mm.

• Speed: Up to 2000mm/s (synchronous belt drive).

• Control Interface: Fully supports Industry 4.0 standards, featuring a digital twin interface and remote fault 

diagnosis capabilities.

In 2026, global demand for robotic arms is experiencing explosive growth, driven primarily by the integration of AI, labor shortages, and the reshoring of manufacturing operations; global market sales are projected to approach $30 billion.

The accelerating evolution of industrial automation and embodied AI is propelling robotic arms beyond traditional production lines into more flexible and intelligent application scenarios. According to IDC forecasts, the global market for intelligent robot hardware is expected to near $30 billion in 2026, with China leading this growth; meanwhile, markets in Europe and North America are witnessing rapidly increasing penetration rates within the high-end manufacturing, healthcare, and service sectors. The International Federation of Robotics (IFR) notes that AI is driving the transition of robotic arms from mere "command execution" toward autonomous decision-making; specifically, generative AI facilitates natural language programming—thereby significantly lowering deployment barriers—and has emerged as a key engine for market growth.