Applications of Collaborative UR Robots in Automotive Manufacturing

Let’s explore six key applications of collaborative UR robots in automotive production: polishing, welding, painting, assembly, machine tending and material removal, and quality inspection.

1.Assembly
Collaborative UR robots play a vital role in automotive factories, including assembly plants. They handle repetitive tasks on production lines, such as installing door handles and windshield wipers, freeing workers to focus on higher-value tasks.
UR robots like the UR16e (16 kg/35.3 lbs payload capacity) manage larger/heavier components—wheels, hatches, and hoods—with precision.

2.Painting
Painting robots deliver unmatched consistency and 24/7 availability, surpassing human capabilities. They are widely adopted by automakers for:
Applying perfectly uniform coatings on large surfaces
Reducing paint waste by 15-20% vs. manual spraying
Eliminating health risks from toxic automotive paints
Minimizing human error with ±0.1mm repeatability

3.Welding
Collaborative UR robots excel in hazardous arc/TIG/MIG/laser/ultrasonic welding applications. The UR+ ecosystem provides turnkey solutions like:
Olympus UR Welding System: Cost-effective for small parts (e.g., brackets, exhaust components)
Automated Spot Welding: 200% faster than manual processes
Seam Tracking: AI-powered vision systems ensure weld path accuracy

4.Material Removal & Polishing
Critical for finishing processes, UR robots perform:
Grinding: Surface prep for composites
Deburring: Edge refinement on cast parts
Polishing: Mirror finishes on trim components
Drilling: Precision hole patterns in chassis
Equipped with force-torque sensors, they adapt to material variations while maintaining ISO 9001 quality standards.

5.Quality Inspection

UR robots automate vehicle QA through:
3D Vision Systems: Detect sub-0.1mm defects
Dimensional Metrology: Verify tolerances <±0.05mm
Surface Scanning: Identify paint flaws invisible to the human eye
Integrated UR+ toolkits reduce inspection time by 40% while improving defect detection rates.

6.Automotive Innovation
UR robots drive industry growth by:
✅ Cutting production cycle times by 30%
✅ Reducing workplace injuries by 72% (OSHA data)
✅ Enabling flexible small-batch production via quick redeployment

With compact, fence-free designs, UR’s collaborative robots seamlessly integrate into existing workflows—from legacy factories to EV battery gigafactories.

How 6-Axis Collaborative Robots Achieve Smooth Motion Through Joint Modules

Joint modules enable 6-axis collaborative robots (cobots) to execute fluid movements. Here’s how joint modules contribute to seamless motion:

Key Roles of Joint Modules

1.High-Precision Joint Control
Modules offer micron-level positional accuracy (±0.01°), enabling precise articulation.
Independent control of each joint’s position/speed ensures coordinated motion.

2.High-Stiffness Structure
Rigid designs (e.g., aerospace-grade alloys) minimize vibration (<0.1mm amplitude) and jerk during operation.

3.Dynamic Optimization
Real-time torque compensation algorithms smooth acceleration/deceleration, reducing inertial overshoot by 40%.

4.Motion Planning & Trajectory Control
Adaptive path-planning (RRT* or CHOMP algorithms) accounts for:
Kinematic constraints
Payload variations (up to 20kg)
Collision avoidance

5.Software Integration
Embedded ROS/ROS-2 controllers provide:
Live joint telemetry (position/velocity/torque)
Dynamic parameter tuning (e.g., PID gains)

6.Technical Implementation
Harmonic Drive Gears: Backlash-free transmission (<1 arc-min)
MagneTorque™ Actuators: 0.1Nm resolution with 5kHz bandwidth
ISO/TS 15066 Compliance: Force-limited joints for safe human interaction

7.Industry Applications
Medical:
Suturing robots achieve 0.2mm stitch precision
Automotive:
Wheel assembly with ±3μm repeatability
Electronics:
PCB handling at 200 cycles/minute
Conclusion:
By integrating precision mechanics, dynamic algorithms, and modular software, joint modules empower cobots to perform fluid, human-like motions while maintaining <0.5% trajectory error in industrial environments.