In the field of industrial automation, industrial robots are playing an increasingly important role. The application of six-dimensional force sensors in industrial robots is also becoming more widespread, and there are many important reasons behind this.
I. Precise force control
1. The need for precise operation
In many industrial production scenarios, such as electronic product assembly, parts are often very delicate and require robots to operate with precise force. For example, when mounting tiny chips onto a circuit board, excessive force may damage the chip, while insufficient force may result in an insecure mounting. Six-dimensional force sensors can sense the force and torque of the robot's end effector in three-dimensional space in real time, helping the robot to precisely control the force applied to the workpiece.
Taking precision machining as an example, when the robot performs operations such as grinding and polishing, the force information fed back by the six-dimensional force sensor can ensure that the pressure applied by the tool to the workpiece surface is uniform and appropriate, thereby improving the machining accuracy and enabling the product surface quality to reach a higher standard.
2. Implementation of compliant operations
When a robot interacts with objects of different shapes and materials, it needs to adjust its gripping force according to the object's characteristics. For example, the gripping force required to grasp soft objects (such as sponges) is different from that required to grasp hard objects (such as metal blocks). A six-dimensional force sensor enables the robot to be compliant, automatically adjusting its gripping force based on the force signals fed back from the sensor, avoiding damage to the object while ensuring a secure grip.
In assembly operations, for parts with a certain degree of elasticity, such as rubber seals, robots can use six-dimensional force sensors to sense changes in resistance during insertion and dynamically adjust the insertion force and angle to successfully complete the assembly task.
II. Collision Detection and Safety Assurance
1. Protect the robot itself
Industrial environments are complex and ever-changing, and robots may collide with surrounding equipment, obstacles, or other robots during their movement. Six-dimensional force sensors can quickly detect changes in force and torque resulting from collisions. Once a collision is detected, the robot can immediately stop moving or take avoidance measures, thereby reducing the extent of damage to the robot itself.
For example, in automated warehousing and logistics, robots may collide with shelves or other transport equipment when handling goods. By installing six-dimensional force sensors, when the collision force exceeds a set threshold, the robot's control system receives a signal and stops its operation in time, preventing serious damage to critical components such as the robot's robotic arm and joints, and reducing maintenance costs and downtime.
2. Ensure personnel safety
In human-robot collaborative work scenarios, personnel safety is paramount. Six-dimensional force sensors can detect the forces generated when a robot comes into contact with a human. If a force that could potentially cause harm is detected, the robot will immediately stop working or change its movement to prevent injury.
For example, in some automobile manufacturing workshops, workers and robots collaborate to assemble car parts. When a worker accidentally bumps into a working robot, a six-dimensional force sensor can quickly respond, putting the robot into a safety mode and ensuring the worker's safety.
III. Quality Control and Process Monitoring
1. Assembly quality monitoring
During product assembly, a six-dimensional force sensor monitors the force and torque at each assembly step. Analysis of this data determines whether the assembly meets quality standards. For example, in tightening screws, the sensor can detect whether the tightening torque reaches the specified value, ensuring the screw connection is secure.
For some high-precision assembly tasks, such as the assembly of aerospace components, six-dimensional force sensors can record the force change curves throughout the assembly process. This data can serve as a basis for quality traceability. Once a product has quality problems, the force data can be analyzed to find possible causes.
2. Process monitoring
◦ When industrial robots perform cutting, welding, and other processing operations, six-dimensional force sensors can monitor the forces involved in the process. Taking welding as an example, the sensor can detect the contact force and angle between the welding torch and the workpiece, ensuring stable welding quality. If abnormal changes occur in force or angle, it may indicate that welding parameters need adjustment or that the welding equipment is malfunctioning, allowing for timely intervention.
During the stone cutting process, the robot uses a six-dimensional force sensor to sense the force on the cutting tool. Based on factors such as the hardness of the stone and the cutting depth, it adjusts the cutting speed and cutting force to ensure the flatness and precision of the cut surface, thereby improving product quality.
IV. Enhancing the Intelligence Level of Robots
1. Implementation of Adaptive Control
The six-dimensional force sensor provides the robot with rich force and torque information, enabling it to adaptively adjust its operating strategies according to actual conditions. For example, in complex material sorting tasks, the robot can automatically adjust its gripping method and force based on the information fed back by the sensor, according to the weight, shape, and texture of different objects, thereby improving sorting efficiency and accuracy.
When robots perform tasks in unknown environments, such as clearing rubble at disaster relief sites, six-dimensional force sensors can help robots perceive information such as the resistance and weight of surrounding objects, enabling them to adaptively plan their movement paths and operating methods to better complete the task.
2. Support for learning and optimization functions
Using data collected by a six-dimensional force sensor, the robot can learn and optimize through machine learning algorithms. For example, by repeatedly grasping force and torque data of different objects, the robot can learn the optimal grasping strategy and continuously optimize its operational skills.
On industrial production lines, robots can optimize the production process based on quality control data fed back from sensors. For example, they can adjust the assembly sequence and optimize processing parameters, thereby improving the efficiency of the entire production process and product quality.
