TECHNICAL SUPPORT
Published 2026-03-19
Do you also have such confusion? If you want to make a robotic arm with a gimbal, there is a lot of information online, but when it comes to actually doing it, you don’t know where to start? How big should the steering gear be? How do the gimbal and the robotic arm work together? Which control board to use? Don’t worry, today we will talk about this topic and help you clarify your thoughts.
The core of theservogimbal is theservo. The selection mainly depends on the torque, accuracy and response speed. The torque depends on what equipment you want to put on it, such as a camera, a sensor, or a lightweight robotic arm. It is generally recommended to leave some margin for the torque. For example, if the calculation requires 1kg·cm, choose a 1.5kg·cmservo. This will make the operation more stable and will not get stuck due to a larger load.
Accuracy is also critical. The gimbal must follow the shot smoothly or position accurately, and the smaller the dead zone of the servo, the better. Ordinary servos may reach 0.5 degrees, and better ones can reach 0.1 degrees. The response speed is related to the frame rate. If you want to follow the target quickly, the servo must move quickly. These parameters usually trade off and must be balanced according to actual needs. For example, when shooting videos that require high smoothness, priority must be given to ensuring accuracy.
The robotic arm has higher requirements for the steering gear, because it must bear load and be flexible. The key indicator is torque. You have to calculate how much weight each joint has to carry. For example, if the base joint has to bear the weight of the entire arm, choose a high-torque servo; if the wrist joint has a light load, you can choose a smaller one. In addition, metal gear servos are more wear-resistant and suitable for long-term operation, while plastic gears tend to slip after being used for a long time.
You also have to consider the size and installation method of the servo. The space of the robotic arm is compact, and the steering gear cannot be too large. Some servos come with dual axes, which are easy to connect in series. They are very easy to assemble like building blocks. Another point is the control interface. Ordinary servos use PWM, and smart servos have serial ports, which can feed back angles and temperatures. The status can be monitored in real time during debugging, which saves a lot of worry.
The gimbal is equivalent to the eyes, and the robotic arm is the hand. The gimbal is responsible for tracking the target, and the robotic arm is responsible for operation. If they work well together, cool functions such as automatic following and grabbing can be achieved. The key lies in communication. The gimbal detects the target position and tells the robotic arm how to move. Here, the main control board can be used as the brain to process data and coordinate actions, which is equivalent to acting as a translator for the two of them.
For example, you install a camera gimbal on the robotic arm and set it to track the red ball. The pan/tilt moves with the ball, and the robotic arm automatically adjusts its posture to prepare for grabbing. This requires programming to implement coordinate conversion, converting the pixel position seen by the gimbal into the movement angle of the robotic arm. Although it sounds complicated, there are now ready-made libraries and routines. If you modify it and run it, you will feel a full sense of accomplishment.
The control panel is the brain of the entire system. Recommended for beginners, cheap and easy to get started with a lot of online routines. It uses PWM to control the servo, which is suitable for projects with few degrees of freedom (such as less than 6). It can be used like a small robotic arm. If you want to play more complex games, you can use STM32. It has strong performance and can process more servo and sensor data at the same time without lagging.
If the project involves visual recognition, such as face tracking, then the Raspberry Pi is the first choice. It runs a Linux system and can directly run scripts to call cameras. However, it should be noted that the real-time performance of the Raspberry Pi is not as good as that of the microcontroller. You can use it to make decisions and then send instructions to the driving servos through the serial port. The division of labor is clear, which not only gives full play to their respective advantages, but also avoids trouble.
The core of programming is to make the servo move according to the predetermined trajectory. The simplest way is to use a ready-made library, such as Servo.h, and use the write() function to specify the angle. But to achieve a smooth transition, an interpolation algorithm must be added to divide the path into small steps and walk step by step to avoid sudden jumps and make the movements look more natural.
The biggest headaches when debugging are jitter and overshoot. This is usually related to PID parameters. You can first set I and D to zero, adjust P to make the movement sensitive but not oscillating; add I to eliminate steady-state errors so that the gimbal can accurately aim at the target; and finally add D to suppress overshoot and prevent overshooting. There is no shortcut for adjusting parameters, you have to try it step by step until the movement is smooth. In addition, the power supply must be stable, and the steering gear must be powered separately for a long time to prevent voltage fluctuations from causing loss of control.
There are many interesting examples in the DIY field. For example, someone made a vision-following gimbal robotic arm. The camera locks on a person's face and the robotic arm delivers things, like a caring assistant. There is also a 3D-printed bionic arm that uses a servo gimbal as an eye and can track gestures and imitate movements, which is very interesting. These projects have drawings and codes on the open source platform. You can download them to study and make changes while learning.
There are similar applications in industry, such as sorting robots, pan-tilts scanning items on conveyor belts, and robotic arms quickly grabbing and sorting. Although the servo motors used at home are more advanced, the principles are similar. We use the steering gear to practice first, and then accumulate experience before moving to the industrial level. We go step by step. Who has not been a novice? If you want to learn more, you can search the official websites of some steering gear brands or controller companies, where there are detailed technical documents and selection guides.
Okay, after talking so much, do you have any inspiration now? If you were asked to build a robotic arm with a gimbal, what task would you most want it to complete for you? Feel free to share in the comment area, maybe your ideas can inspire more people! If you find it useful, please give it a thumbs up and support it. See you in the next issue!
Update Time：2026-03-19
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