Analysis of Yamaha Robot's Vision Problems

Create Date: 2024-8-30 12:03:23|Source: YAMAHA/YAMAHA

1. The problem of selecting the characteristics of the picture.

The function of the visual servo is closely related to the characteristics of the drawings used. The selection of features should take into account not only the identification indicators, but also the manipulation indicators. From a handling point of view, the redundancy eliminates the effects of noise and improves the functionality of the visual servo motor, but also increases the difficulty of picture processing. Therefore, how to select the best functional features, how to deal with them, and how to evaluate them are issues that need to be further studied. Sometimes you need to switch from one set of features to another. You can consider combining big-picture capabilities with local capabilities.

                               Analysis of Yamaha Robot's Vision Problems

2. Combined with the research results of computer vision and picture processing, create a software library dedicated to the robot vision system.

3. Strengthen the discussion of the dynamic function of the system. Most of today's research will focus on the robot's motion, which should be determined based on pictorial information. However, there is little discussion about the dynamic functions of the entire visual servo.

4. Outcomes of the use of smart skills.

5. Use automatic visual effects.

Automated vision is a hot topic in the field of computer vision and robot vision. It focuses on the ability of the visual system to interact with the environment. Unlike traditional general-purpose vision, automatic vision focuses on two points. First of all, it is necessary for the visual system to have the ability to perceive automatically. Secondly, the visual system should be based on certain tasks. "Auto Vision" or "Task Oriented" refers to parameters such as the camera's orientation, focal length, aperture, etc., which should be adjusted more automatically when acquiring visual information so that the camera can quickly aim at the object of interest.

6. Multi-sensor fusion problem. Vision sensors have a definite range of use. When combined with other sensors and taking advantage of their complementary functions, uncertainty can be eliminated and results can be achieved more reliably and accurately.

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