(1) Programmed Control System:
By applying specific rule-based control functions to each degree of freedom, the robot can achieve the desired spatial trajectory.
(2) Adaptive Control System:
When external conditions change, to ensure desired quality or enhance control quality through accumulated experience, this process observes state operators and servo errors, then adjusts nonlinear model parameters until errors vanish. The system's structure and parameters can automatically adapt over time and under varying conditions.
(3) Artificial Intelligence System:
Movement programs cannot be pre-programmed; control functions must be determined in real-time based on acquired peripheral state information.
Drive Methods: Refer to Industrial Robot Drive Systems.
(4) Point-to-Point Control:
Requires precise control of the end-effector's position and orientation, independent of the path.
(5) Trajectory Control:
Requires the robot to move along a taught trajectory at a specified speed.
(6) Control Bus:
International standard bus control systems. Control buses employ internationally standardized buses such as VME, multi-bus, STD, and PC buses.
(7) Custom Bus Control Systems:
The bus must be defined by the manufacturer as the control system bus.
(8) Programming Mode:
Physical setup programming system. Operators configure fixed limit switches to execute start/stop program operations. Only suitable for simple pick-and-place tasks.
(9) Online Programming:
The programming mode for storing operational information is achieved through human-machine teaching, including direct teaching (i.e., hand-in-hand teaching), simulation teaching, and teaching pendant teaching.
(10) Offline Programming:
This does not involve direct teaching on the actual robot but generates teaching programs separated from the real working environment. Using the robot and programming language, it remotely generates robot operation trajectories offline.