
Parallel Robot

Mechanism of Parallel Robot
Parallel Robot connects the joints together through connecting rods to form a parallel structure. The motion paths of the parallel robot is arc-shaped. Since there is no need to maintain the chain stability, parallel manipulator can achieve higher speed and higher precision movements, especially in high-precision micro-operations. The mechanism of parallel robot includes:
Multi-mechanical arm: Parallel robot is composed of two or more mechanical arms, including driving arm, passive arm etc., each of which has its own degree of motion freedom and control system.
Parallel structure: Multi-mechanical arms are connected with base through connecting pieces so that it can form the parallel structure. This structure can enable the arms moving simultaneously in all directions.
Parallel structure: Multi-mechanical arms are connected with base through connecting pieces so that it can form the parallel structure. This structure can enable the arms moving simultaneously in all directions.
End actuator: At the end of each arm, an actuator is equipped to perform specific tasks such as grasping and transporting. There are various types and forms of end actuator, which can be selected and replaced according to different needs.
Control system: It is the key of the main parallel robot, responsible for controlling the cooperation of motion and coordination of each arm of parallel manipulator. The control system is composed of computer, sensor and actuator, in order to realize high-precision of parallel robot.
Control system: It is the key of the main parallel robot, responsible for controlling the cooperation of motion and coordination of each arm of parallel manipulator. The control system is composed of computer, sensor and actuator, in order to realize high-precision of parallel robot.
Design Considerations for Parallel Robot
Freedom and Working Space
Ensure sufficient working space and motion range
Consider complexity and cost of mechanical structure
Dynamics and Control System
Improve the response speed and motion accuracy
Consider matching of driving forces and optimization
Structure and Configuration Design
Consider the number of drive arms, connection methods
Ensure good athletic performance and load-bearing capacity
Stiffness and Accuracy
Optimize material selection, connection node design
Ensure the precision of processing or operation

Classification of Parallel Robot
Classified by Degree of Freedom( DOF)

2-DOF Parallel Robot
The 2-DOF parallel robot has the fewest degrees of freedom and is mainly suitable for planar or spherical positioning. The planar 2-DOF parallel robot can achieve 2-DOF for movement within a plane. It is often used to locate points in a space and can draw any trajectory on it.

3-DOF Parallel Robot
There are various types and forms of 3-DOF parallel robot, including which have 3-DOF moving, rotating and hybrid motion parallel mechanisms. For example, the 3-RRR mechanism has two moving parts and one rotating part.

4-DOF Parallel Robot
Based on the 3-DOF parallel robot, a rotating pair perpendicular to the moving platform is added to form 4-DOF parallel robot, thereby adding one rotational degree of freedom to the original three moving degrees of freedom.

6-DOF Parallel Robot
6-DOF parallel robot has six motion chains. With the deepening of research, 6-DOF parallel robot with three motion chains have also emerged, such as 3-PRPS and 3-UPS mechanisms. Also, there is 6-DOF parallel robot by attaching a five-bar mechanism to each branch as the driving mechanism.
What Problems Can Parallel Robot Solve?

-- Improve production efficiency
-- Boost production accuracy
-- Reduce energy consumption
-- Reduce production costs
-- Handle complex motion
-- Perform tiny working place
Parallel Robot - Installation Cases






What Type Products Can Use Parallel Robot?

Mobile Device Part

Electronic Circuit Board

Optical Lens Module

Aerospace Component

Battery Module Part

Automotive Part

Food Packaging Container

Laboratory Consumable

Pharmaceutical Product

Home Appliance Part

Toy Component

Watch Part
Common Problems and Solutions of Parallel Robot

Workspace Limits:
Parallel robot faces workspace limitations due to mechanical and kinematic constraints. Therefore, use boundary point search algorithms and convex hull methods to define these limits and make sure to understand the parallel robot workspace boundaries before planning tasks.
Parallel robot faces workspace limitations due to mechanical and kinematic constraints. Therefore, use boundary point search algorithms and convex hull methods to define these limits and make sure to understand the parallel robot workspace boundaries before planning tasks.
Force and Stiffness:
Force transmission and stiffness in parallel robot can vary non-linearly across the workspace. Changes in configuration may lead to unexpected force amplification or loss of rigidity. Therefore, regular calibration and monitoring of force sensors help maintain consistent performance.
Force transmission and stiffness in parallel robot can vary non-linearly across the workspace. Changes in configuration may lead to unexpected force amplification or loss of rigidity. Therefore, regular calibration and monitoring of force sensors help maintain consistent performance.
Payload and Thermal:
Exceed payload limits can cause mechanical strain, increased wear, or even failure of parallel robot. Thermal issues may arise during prolonged or intensive use. Therefore, monitoring temperature and adhering to recommended payload specifications help prevent downtime and prolong the life of parallel robot.
Exceed payload limits can cause mechanical strain, increased wear, or even failure of parallel robot. Thermal issues may arise during prolonged or intensive use. Therefore, monitoring temperature and adhering to recommended payload specifications help prevent downtime and prolong the life of parallel robot.
Kinematic Complexity:
Kinematic complexity remains a significant challenge in parallel robot . Under heavy loads, it will increase kinematic complexity and introduce dynamic errors due to link deformation and joint clearance. Therefore, it is significant to develop digital frameworks that optimize robot dimensions by balancing kinematic performance.
Kinematic complexity remains a significant challenge in parallel robot . Under heavy loads, it will increase kinematic complexity and introduce dynamic errors due to link deformation and joint clearance. Therefore, it is significant to develop digital frameworks that optimize robot dimensions by balancing kinematic performance.
How to Order Parallel Robot?
If you want to buy parallel robot, parallel manipulator, parallel mechanism robot, please fill out below form or send email to info@parallelmanipulator.com
