GLS Polishing and Grinding Robots
GLS robot technology has been recognized by Foxconn, Luxshare Precision, Shagang Group and other companies.
Full Analysis Of Polishing Robot Trust Indicators
The following data is used to quickly determine whether GLS has reached the maturity level that can be introduced into the production line.
Ra 0.05µm
Mirror accuracy, verified on Ti-6Al-4V titanium alloy implants
90%
Compared with manual processing, the scrap rate is reduced
300+
Robot integration projects completed since 2018
40+
Global service countries and regions
14 months
Average customer investment payback period
Manual Polishing Vs GLS Polishing Robot
The force of manual polishing fluctuates greatly, resulting in unstable quality and high losses; force-controlled polishing robots operate at constant pressure to achieve stable accuracy, reduce waste and increase efficiency.
Instability Of Manual Polishing
| Scenario | Contact Force | Result |
|---|---|---|
| 1st Hour of Morning Shift | 4.8N | Relatively stable contact force, yet with manual fluctuation still present |
| 4th Hour of Morning Shift | 5.3N | Fatigue begins to accumulate, with pressure gradually rising |
| 6th Hour of Night Shift | 6.7N | Pressure increased by 39%, with significantly higher risk of surface defects |
±2N contact force fluctuations on aluminum alloy workpieces can result in Ra fluctuations, edge overpolishing, and scrap rates of 8%–20%.
Four Problems Solved by GLS
| Pain Point | Actual Cost | GLS Outcome |
|---|---|---|
| Rework and scrap caused by inconsistent contact force | 8%–20% of parts require rework or scrapping | Customer-verified scrap rate <0.5% |
| Shortage of skilled polishing technicians | 3–6 months recruitment cycle, annual turnover rate over 30% | Can supervise 2–3 robot cells after 2 days of training |
| Occupational health risks from dust, vibration and noise | Approximately ¥80,000–¥200,000 per occupational injury claim | Operators are completely removed from hazardous work areas |
| Geometric deviation of parts from different batches | Missed weld seam grinding or over-polishing of deviated parts | Automatically compensates for part deviation of ±1mm |
Core Technology About GLS Polishing Robot
The key differences between GLS and traditional grinding and polishing systems directly determine the rhythm, stability and quality traceability.
±0.05N force control accuracy
The six-axis sensor detects force at 1,000Hz and maintains stable contact on flat surfaces, curved surfaces, freeform surfaces, edges and corners.
12 Automatic tool change at work station
It can automatically switch between abrasive belts, grinding discs, polishing wheels, wool felt wheels and wire brushes, and the tool change time is only 5 seconds.
Robot vision system
3D structured light completes part positioning within 2 seconds, reducing fixture dependence and supporting flexible loading.
AI defect detection
Real-time identification of scratches, pores, insufficient material removal and surface defects based on 10,000+ industrial images.
Manual drag and drop teaching
Collaborative robots can be directly dragged for teaching, and complex path recording can be shortened from days to minutes.
MES production traceability
Record force control curve, tool status, Ra prediction value, operator ID and processing results, support OPC-UA and Modbus TCP.
Offline programming
After importing CAD, selecting the surface, and setting the target Ra, the path is automatically generated, which is 70% faster than teaching pendant programming.
Tool wear compensation
Continuously track abrasive attenuation and adjust contact force to ensure stable material removal rate and reduce manual parameter adjustment.
When Is It Worth Investing In A Polishing Robot?
GLS will directly determine whether your current factory is suitable for automation to prevent customers from making wrong investment decisions.
Suitable for deployment of grinding and polishing robots
Monthly output of the same type of parts >200 pieces, Changeover costs are often still covered by automation benefits.
Current scrap or rework rate exceeds 5% ,The force control system has the most obvious saving effect in this type of scenario.
Part process flow can be copied, Robots are best suited for replicating stable processes rather than replacing disorderly operations.
Batch geometric deviation is controlled within ±1mm, Exceeding the range can still be solved, but will increase the cost of the vision system.
Loss of orders due to unstable surface quality ,The benefits of retaining orders and acquiring new orders are usually higher than simply saving labor.
Unsuitable Scenarios for Grinding & Polishing Robots
If the monthly output of the same type of parts is <50 pieces, standardize the process first, or use GLS semi-automatic auxiliary tools.
Pure artistic hand-made surface treatment, human aesthetic judgment cannot be completely parameterized.
The complex inner cavity structure cannot be reached, so it is recommended to turn to electrolytic polishing or vibration grinding.
If your budget is less than $15,000 and you need 6 months to pay back your investment, you can start with the GLS-EC5 collaborative robot.
The same kind of parts cannot be stably provided in the first 6 months, and the robot program needs a stable batch of parts for verification.
Advantages of Single Robot Welding Workstations
Choose the appropriate grinding or polishing process based on material, hardness and surface requirements.
| Material | Hardness | Process Flow | Spindle Speed | Achievable Ra | Recommended GLS Model | Key Precautions |
|---|---|---|---|---|---|---|
| Aluminum Alloy 6061 / 7075 | HB 95–150 | Grinding → Polishing → Mirror Finishing | 3,000–8,000 RPM | Ra <0.1µm | GLS-PG-2000T-A | Risk of built-up edge (BUE) formation, regular cleaning required |
| Stainless Steel 304 / 316L | HB 200 | Grinding → Fine Grinding → Brushing | 2,000–6,000 RPM | Ra 0.2µm | GLS-PG-2000T-B | Poor thermal conductivity; force control prevents overheating |
| Titanium Alloy Ti-6Al-4V | HRC 36 | Low-speed Grinding → Precision Polishing | 800–2,000 RPM | Ra 0.05µm | GLS-EC16 | High chemical reactivity; inert atmosphere is recommended |
| Brass C36000 | HB 80–120 | Polishing → Mirror Finishing | 2,000–5,000 RPM | Ra <0.1µm | GLS-PG-800T | Soft material; maximum contact force of 0.5N is recommended for mirror finishing |
| Carbon Steel Q235 / 45# | HB 150–250 | Heavy Grinding → Surface Pretreatment | 1,500–4,000 RPM | Ra 1.6–3.2µm | GLS-PG-3000L | High material removal rate; torque monitoring is required |
| Cast Iron HT250 | HB 170–240 | Heavy Grinding → Surface Finishing | 1,000–3,000 RPM | Ra 0.8–1.6µm | GLS-PG-2000T-B | Brittle material; vibration control is required |
| PMMA / Acrylic | Shore D 85 | Fine Grinding → Polishing | 500–1,500 RPM | Ra 0.05µm | GLS-EC5 | Low-speed processing avoids thermal deformation |
| Carbon Fiber Reinforced Polymer (CFRP) | — | Trimming → Edge Finishing | 2,000–5,000 RPM | Ra 0.4µm | GLS-PG-800T | Harmful dust generated; HEPA-sealed work station is mandatory |
| Zinc Alloy ADC12 | HB 80–100 | Deburring → Polishing → Mirror Finishing | 2,000–6,000 RPM | Ra <0.1µm | GLS-PG-2000T-A | Soft parting line; compliant control is critical |
Features of GLS Polishing Robot
Each difference directly affects your product quality, production costs and competitive advantage
①±0.05N force control accuracy
The six-axis sensor detects force at a frequency of 1,000Hz, and the system can maintain stable contact force regardless of flat surfaces, curved surfaces, free-form surfaces, edges or corners. From the first part to the 10,000th part, the process parameters remain consistent.
②12-station automatic tool change
Supports automatic switching of abrasive belts, grinding discs, polishing wheels, wool felt wheels, and wire brushes. The entire finishing process does not require manual intervention or interruption of the processing cycle.
③Complete part positioning in 2 seconds
3D structured light scanning can identify the position and attitude of parts within 2 seconds, reducing the need for precision tooling and fixtures, supporting flexible loading and pallet-less production, and reducing changeover costs.
④AI defect detection (10,000+ training images)
Deep learning identifies scratches, pores, insufficient material removal, and grinding marks in real time. Partial regrinding is automatically triggered before the parts leave the workstation, with a false alarm rate of <0.8%.
⑤Speed up programming path generation by 70%
GLS Motion Studio generates and simulates grinding paths without stopping the line. Import CAD → select surface → set Ra → automatically generate path → simulation verification → export program, and the programming time is shortened from days to hours.
⑥MES integration: 100% production traceability
Each part generates timestamp records: force control curve, machining cycle, tool status, Ra prediction value, operator ID, quality results. Supports OPC-UA, Modbus TCP direct connection to MES/SCADA/ERP.
⑦Manual drag and drop teaching mode
The collaborative robot model supports direct dragging of the robot arm for teaching. The system records the motion trajectory and executes it repeatedly with ±0.05N force control accuracy, shortening complex path teaching from days to minutes.
⑧Automatically compensate for grinding tool wear
The system automatically detects the attenuation of the abrasive and adjusts the contact force. The processing effect of the old and new abrasive tools is consistent, the material removal amount is stable, the service life of the abrasive tools is extended, and manual parameter adjustment is reduced.
Polishing Robot Vision System
Our vision system reduces fixture costs and allows the machining process to form a complete quality closed loop.
Problem 1: Part location is uncertain
Each time manual loading occurs, the actual position of the part usually deviates from the robot’s preset position by ±5–15mm. Without a vision system, high-precision fixtures must be designed for each type of part.
GLS uses 3D structured light scanning to identify part position and orientation within 2 seconds and automatically corrects the processing path to support flexible loading and pallet-free production.
Question 2: Surface defect detection
The AI defect detection module is trained on more than 10,000 images of industrial surfaces and can identify scratches, blowholes, sanding marks, insufficient material removal and uneven surface preparation in real time.
After a defect is discovered, the system will automatically perform local regrinding of the abnormal area to avoid sending the problematic parts directly to the next process.
Polishing Robot Vision System Parameters
Adopts blue LED structured light 3D scanning. Max point cloud density reaches 4 million points per scan; typical workpiece scanning finishes within 2 seconds.
Position accuracy ±0.5mm, posture accuracy ±0.3°. Detects scratches wider than 0.05mm and pores over 0.3mm in diameter with a false alarm rate below 0.8%, validated on over 10,000 workpieces.
Supports integration with Keyence, Cognex, Basler and SICK, seamlessly connecting customers’ existing industrial cameras.
Delivers pass/fail judgments, defect mapping and predicted Ra values. Natively compatible with the official GLS robot software platform for easy integration.
Safety Protection Of Gls Polishing Robot
Surface finishing is one of the better industrial applications for collaborative robot deployment, and the GLS polishing robot has safety capabilities built into every layer.
Five-layer security architecture
✅ 1: Joint torque detection: Six-axis joint torque is continuously monitored and a safety stop is triggered within 50ms when the threshold is exceeded.
✅ 2: Speed and distance monitoring:The vehicle automatically slows down after entering the monitoring area and stops completely when in close contact.
✅ 3: Security Level Controller:Dual-channel safety PLC operates independently of the main motion controller and complies with ISO 13849-1 PL d, Category 3.
✅ 4: Force Control Limited Mode:Even if the parameters are wrong, the system will not exceed the set maximum contact force.
✅ 5: Physical Structural Design:Rounded casing, no pinch point structure, internal wiring, IP54, and emergency stop protection are all available.
Operators can complete it after 2 days of training
✓Select and load part program from recipe library
✓Monitor real-time contact force and position on HMI
✓Perform tool changes and condition checks
✓Start and confirm new formula prototypes
✓Perform basic fault diagnosis based on HMI alarm codes
✓Adjust contact force via touch screen within approved range
✓Use manual drag and drop teaching on collaborative robot models
GLS engineers still need to be involved
✗Create new recipes from scratch
✗Reconfigure security area
✗Calibrate force control parameters
✗Retrain the vision system model
GLS provides remote online support and on-site engineer services, all of which can be covered through service agreements.
GLS Robot Sensing Technology
| Parameter | Specification |
|---|---|
| Force Control Range | 0.5N–200N, Configurable |
| Force Control Accuracy | ±0.05N |
| Sampling Frequency | 1,000Hz |
| Response Time | <20 Microseconds |
| Abrasive Wear Compensation | Automatically tracks abrasive wear and adjusts contact force |
| Protection Level | IP67, Dustproof & Splash-proof |
Two Proven Real- Projects
Real data, real customer feedback — not a demo environment, this is a production site
Frequently Asked Questions
The standard GLS robot workstation will complete pre-assembly, pre-wiring, pre-debugging and factory testing in Zhangjiagang. On-site installation work includes: workstation positioning, power/air connection, part program loading, acceptance testing, and operator training. Installation cycle: .GLS-PG-800T:2-3 days ·GLS-EC series: 2-3 days ·GLS-PG-2000T series: 3-5 days ·GLS-PG-3000L (including conveyor line integration): 5-8 days Training occurs concurrently with installation, and operators can complete certification before the installation team leaves.
It can palletize cartons and bags, tend CNC machines, perform arc or spot welding, or assemble parts. A single robot station is ideal for repetitive tasks in small-to-mid-size production lines.
GLS can test up to 3 part samples for free and provide: Ra measurement report, Mitutoyo SJ-410 roughness meter measurement results, machining cycle data, tool consumable cost estimate, ROI return on investment prediction.
The engineering team training cycle is usually 3 days, covering offline programming, force control parameter setting, and recipe verification. After the training, most engineers can complete the first independent verification program within 1 week. GLS provides unlimited remote programming support for the first 6 months after installation.
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Ready to deploy your collaborative robot?
Just submit the workpiece drawings and production requirements, and our engineering department will tailor-make your collaborative robot solution, quickly match the production line, and provide an accurate quotation within 48 hours.