How to achieve force control of a collaborative robotic arm using a six-axis force sensor?

The use of six-axis force sensors to realize the force control of the collaborative robotic arm can be realized through the following steps:

1. installing the six-axis force sensor: first of all, it is necessary to install the six-axis force sensor at the end of the collaborative robotic arm, which is used to sense the external forces and moments.

2. Collecting sensor data: Through programming, the data collected by the six-axis force sensor is transmitted to the controller of the robotic arm for real-time monitoring of external forces and moments.

3. design force control algorithm: according to the application requirements, design the corresponding force control algorithm. For example, the force control algorithm based on PID control can be designed to adjust the trajectory and strength of the robotic arm in real time according to the data collected by the sensor, so that it can operate according to the preset strength and direction.

4. Realize force control: Embed the designed force control algorithm into the controller of the robotic arm to realize force control. In actual operation, the robotic arm will be adjusted in real time according to the data collected by the sensor to ensure the accuracy and safety of the operation.

In conclusion, the use of six-axis force sensors to realize the force control of a collaborative robotic arm requires multiple steps such as installing sensors, collecting data, designing force control algorithms and realizing force control. Through these steps, the force control of the robotic arm can be realized to improve the operation precision and safety of the collaborative robotic arm.

Performance Evaluation and Selection Guide for Six-Axis Force Sensors for Industrial Robots

Introduction

With the rapid development of industrial automation, the performance of six-axis force sensors, as core components in robotics technology, directly affects the robot’s operating accuracy, safety, and flexibility. This article aims to deeply explore the performance evaluation indicators and selection guidelines of six-axis force sensors for industrial robots, to help engineers and R&D personnel better understand and select sensors suitable for their application scenarios.

1. Overview of Six-Axis Force Sensor

A six-axis force sensor, also known as a six-dimensional force sensor, is a precision measuring device that can simultaneously measure the force and torque of an object in three directions. It is based on the interaction principle of force and torque in mechanics, and converts mechanical information into electrical signals for output through the tiny deformation of elastic elements (such as elastomers or elastic diaphragms). This sensor is widely used in robotics, aerospace, automobile manufacturing, biomechanics and other fields.

2. Performance Evaluation Indicators

1. Accuracy and sensitivity
Accuracy and sensitivity are important indicators for evaluating the performance of six-axis force sensors. Accuracy refers to the degree of deviation between the sensor’s measured value and the actual value, while sensitivity reflects the sensor’s ability to respond to small changes. For industrial robots, high-precision six-axis force sensors can ensure the accuracy and stability of robot operations.

2. Range and overload capacity

The range refers to the maximum load force (or torque) that the sensor can effectively measure. When selecting a sensor, make sure its range can meet the actual working requirements of the robot. In addition, overload capacity is also a factor that cannot be ignored. It refers to the ability of the sensor to maintain a certain measurement capability when exceeding its range. Good overload capacity can protect the sensor from accidental damage.

3. Linearity and hysteresis
Linearity describes the degree of linear relationship between sensor output and input, while hysteresis reflects the inconsistency of sensor output values ​​during loading and unloading. For industrial robots, six-axis force sensors with low linearity and low hysteresis can provide more accurate measurement results and reduce error accumulation.

4. Resolution and Noise
Resolution refers to the amount of small signal changes that a sensor can distinguish. A high-resolution sensor can capture more subtle mechanical changes and improve measurement accuracy. At the same time, the noise level is also an important factor affecting sensor performance. A low-noise sensor can provide a clearer signal output.

5. Environmental adaptability
The working environment of industrial robots is complex and changeable, so the six-axis force sensor needs to have good environmental adaptability. This includes temperature stability, waterproof and dustproof capabilities (such as IP rating) and electromagnetic compatibility. Good environmental adaptability can ensure that the sensor can maintain stable measurement performance under different working conditions.

3. Selection Guide

1. Clarify application scenario requirements
Before choosing a six-axis force sensor, you first need to clarify the specific requirements of the application scenario, including measurement accuracy, range, frequency response, etc. Select the appropriate sensor model and specifications according to the requirements.

2. Investigate sensor brands and manufacturers
There are many six-axis force sensor brands and manufacturers on the market, and their product quality and performance vary greatly. Therefore, when choosing, you need to examine the manufacturer’s technical strength, product quality, after-sales service and other factors, and choose a reputable and powerful brand.

3. Evaluate the cost-effectiveness
Under the premise of meeting application requirements, the cost-effectiveness between the price and performance of the sensor needs to be comprehensively considered. We should not blindly pursue high prices or high performance while ignoring actual needs and economic costs.

4. Field testing and verification
Before finalizing the sensor model, it is recommended to conduct field testing and verification. The sensor is tested for performance by simulating actual working scenarios to evaluate whether its performance in actual applications meets expectations.

IV. Conclusion

As an important component of industrial robots, the performance of six-axis force sensors directly affects the operation and safety of robots. Through the introduction of this article, we hope to help engineers and R&D personnel better understand and select six-axis force sensors suitable for their application scenarios. In the selection process, it is necessary to comprehensively consider multiple factors such as accuracy, range, linearity, hysteresis, resolution, noise, and environmental adaptability, and conduct a comprehensive evaluation based on actual needs and economic costs. Finally, a six-axis force sensor with high cost performance and stable performance is selected to provide strong guarantee for the precise operation and efficient operation of industrial robots.

Revolutionizing Precision: The Rise of Six-Axis Force Sensors

Six-axis force/torque sensors, capable of measuring forces (Fx, Fy, Fz) and torques (Mx, My, Mz) simultaneously, are redefining precision across industries. With sub-Newton accuracy and real-time data processing, these sensors enable machines to “feel” and adapt to dynamic environments—a critical capability for applications ranging from robotic surgery to aerospace assembly.

Industry Applications Driving Demand

1.Humanoid Robotics
Leading robotics firms, including Tesla (Optimus) and Ubtech (Walker X), now rely on six-axis sensors for tasks requiring human-like dexterity. Installed in wrists, ankles, and grippers, these sensors enable precise force feedback during object manipulation and adaptive walking on uneven terrain.

2.Automotive & Aerospace
In BMW’s smart factories, six-axis sensors reduced assembly defects by 43% through real-time torque monitoring during engine installations. Aerospace applications include SpaceX’s satellite docking systems and flight attitude control, where sensors achieve 5kHz dynamic response rates for split-second adjustments.

3.Medical Advancements
Surgical robots integrated with six-axis sensors, such as those developed by Haixi Medical, demonstrate 97% force feedback accuracy, enabling safer minimally invasive procedures. Rehabilitation devices also leverage this technology for personalized therapy regimens.

Market Outlook & Technological Trends

The global six-axis sensor market is projected to grow at a CAGR of 18.7% through 2030, driven by:
AI Integration: Machine learning algorithms analyze sensor data to optimize robotic motion planning and predictive maintenance9.
Miniaturization: MEMS-based designs like HBM’s K-SP5/8KG-JW2 now fit into micro-robots and IoT devices without sacrificing performance

Looking Ahead

As six-axis sensors evolve toward nanoscale resolution and cloud-connected ecosystems, their role in Industry 4.0 and human-robot collaboration will expand exponentially. With Kelishi and Huawei paving the way, China is poised to lead this transformative wave, reshaping industries from intelligent manufacturing to AI-driven healthcare.

For technical specifications or partnership inquiries, visit [Company Website:https://mare-x.com/] or contact [email protected]

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.