Composite robots, also known as mobile robotic arms, composite manipulators, and mobile manipulators, are often referred to as British mobile manipulators. A composite robot possesses "hands, feet, eyes, and brain." Compared to AGV/AMR robotic arms, single-function robots combine the characteristics of both and are more flexible. Semiconductor, 33, and C composite robots can play a significant role in the assembly of parts in traditional manufacturing industries such as electronics, medical, daily chemicals, and machining, enabling unmanned intelligent production. Currently, the application of composite robots is still in its early stages, but development is rapid. Composite robot manufacturers with implemented projects in China include KUKA and DAI Robotics. What are composite robots and their advantages?
I. Improve the level of automation in the production process
Composite material robots can improve the automation of raw material and component transportation, workpiece loading and unloading, and machine assembly, thereby increasing labor productivity, reducing production costs, and accelerating the mechanization and automation of industrial production.
II. Improve working conditions and prevent personal injury accidents.
Hybrid robots can safely perform some or all of the dangerous tasks in harsh environments, greatly improving workers' working conditions. At the same time, some simple but tedious material handling tasks can be replaced by hybrid robots, which can avoid losses caused by human fatigue or negligence.
III. Production Line Flexibility
Composite robots complete the next process with high flexibility. Multiple composite robots form a mobile assembly platform, and the processing platform can achieve a high degree of collaboration. The competition among robot and collaborative robot companies for market share is the main reason for the rapid growth of both types of robots.
What are hybrid robots and what are their advantages? Hybrid robots face challenges such as market awareness, process applications, software and hardware iterations, inconsistent communication and hardware interfaces, complex deployment processes, accuracy, load, and durability requirements. They also address core technologies such as independent navigation algorithms and cluster scheduling algorithms for Hybrid robots. Hybrid robots deeply integrate machine vision control code, and a single protocol solves the collaborative control of three products. They share a 48V bus power supply internally, and multiple devices share a control terminal, enabling collaborative scheduling of multiple devices.
