Project Overview
TechAssembly Solutions manufactures electronic control modules for industrial equipment.
The company operated 6 manual assembly lines with 120+ workers performing repetitive,
high-precision tasks — resulting in high turnover (35% annually), quality inconsistencies
(2.4% defect rate), and difficulty scaling to meet growing demand.
GridMatrix designed and deployed a hybrid human-robot collaborative assembly system with
12 UR+ collaborative arms, vision-based quality control, and intelligent task allocation —
enabling 45% production increase with near-zero defects and improved worker safety.
Challenges
- High worker turnover due to repetitive manual assembly tasks
- Quality inconsistencies causing 2.4% defect rate and customer complaints
- Difficult to scale production without hiring more workers
- Repetitive strain injuries (RSI) among assembly workers
- Long cycle times limiting throughput (180 units/day per line)
- Manual inspection processes missing defects
Strategy
- Deploy 12 collaborative robots for repetitive assembly tasks
- Implement vision-based defect detection at checkpoints
- Design safe human-robot collaboration workflows
- Create intuitive programming interface for task adaptation
- Train workforce to work alongside robots (not replace)
- Achieve continuous improvement through data analytics
Actions Taken
Collaborative Robot Deployment
- Installed 12 UR10e collaborative arms across 6 assembly lines
- Equipped robots with gripper tooling for component handling and fastening
- Designed ergonomic workstations with robot-human task separation
- Implemented force-limited safety protocols allowing safe human-robot proximity
Vision-Based Quality Control
- Deployed 18 machine vision cameras for 100% automated inspection
- Trained deep learning models on 100,000+ images for defect detection
- Achieved 99.6% defect detection accuracy with <50ms per-unit inspection
- Integrated automated rejection system removing defective units
Task Planning & Worker Collaboration
- Redesigned assembly workflows optimizing human and robot strengths
- Robots handle precision fastening; humans handle complex manual assembly
- Built intuitive teach pendant interface for rapid task reprogramming
- Implemented skill-based training to upskill workers for robot supervision
Results (9 Months)
+45%
Production Throughput Increase
-81%
Defect Rate Reduction
Zero
Safety Incidents in Year 1
Technical Implementation
The system integrates 12 UR10e collaborative arms programmed via graphical task builder —
no specialized robotics knowledge required. Each robot is equipped with a Schunk intelligent
gripper for part handling and adaptive force control. Vision-based quality control uses
industrial cameras with Basler APIs and deep learning inference running on edge GPUs. The
control system connects all robots via industrial Ethernet to a central orchestration engine
built on ROS (Robot Operating System). Data from all robots and vision systems is collected
in real-time for KPI tracking (cycle time, defects, OEE). Safety systems include force-torque
sensors, emergency stop protocols, and collaborative force limitations per ISO/TS 15066 standards.
Final Outcome
TechAssembly Solutions successfully transformed its assembly operations from manual to collaborative
robotic production. With 45% throughput increase and 52% labor cost reduction per unit, the company
increased profitability while reducing worker injury rates. Defect detection improved from 2.4% to
0.45%, enhancing customer satisfaction and reducing warranty costs. Workforce turnover decreased to
8% (from 35%) as workers transitioned to higher-skill robot supervision roles. The company has
now doubled production capacity with the same factory footprint, positioning it to capture new
enterprise contracts and expand into adjacent markets.