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Multisensory system for industrial robot

A technology of industrial robots and perception systems, applied in the field of industrial robot control systems, can solve problems such as insufficiently intuitive teaching actions, low programming efficiency, and limited productivity

Inactive Publication Date: 2019-02-12
FOSHAN INST OF INTELLIGENT EQUIP TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, traditional industrial robots generally have high-speed and high-precision performance. In this case, once they collide with people or the surrounding environment, irreparable losses will be caused; The teaching method is used to realize the programming of the robot motion trajectory, the teaching action is not intuitive enough, and the programming efficiency is low
In the process of teaching and programming, it is usually necessary for the operator to keep a relatively close distance from the robot. Since there is no safety detection system, there are certain safety hazards; because the collaborative robot focuses on human-machine collaboration, it sacrifices its operation in order to ensure safety. speed, which greatly limits productivity
In addition, the collaborative robot mainly realizes the recording of the target point and trajectory by dragging and teaching. In the positioning process, the accuracy of the point is controlled by human eyes and hands, which cannot achieve high positioning accuracy.

Method used

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  • Multisensory system for industrial robot
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Embodiment Construction

[0036] refer to figure 1 , the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0037] A multi-sensing system for an industrial robot provided by the present invention includes a voice interaction module 1, a safety monitoring module 2, a drag teaching module 3, a collision detection module 4 and a safety decision module 5;

[0038] The voice interaction module 1 is used to identify the received voice information and generate execution instructions;

[0039] The voice interaction module 1 is software developed based on a deep learning voice recognition algorithm. In this embodiment, the voice recognition tool based on the iFLYTEK AIUI human-computer interaction platform is applied to the industrial robot, and by extending the robot operation and control methods , so that the operator can use voice, a more natural interaction method, so that the robot can correctly understand the human intenti...

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Abstract

The invention relates to the technical field of control systems for industrial robots, and more specifically relates to a multisensory system for an industrial robot. The received voice information isidentified, and executable instructions of the industrial robot are generated; the image information of a working environment of the industrial robot is acquired, and the movement behavior of the industrial robot is adjusted in real time according to the image information; a joint torque is obtained by acquiring a current in a servo motor, and closed-loop force-control dragging teaching is carried out; whether collision occurs or not is judged by calculating an external torque applied onto the industrial robot in real time; and data information is interacted in real time, and data processingand control are carried out, so that a traditional industrial robot has the teaching convenience and the running safety of a collaborative robot, and reserves the high speed and the high accuracy of multi-sensing for torque, sound and vision.

Description

technical field [0001] The invention relates to the technical field of industrial robot control systems, and more particularly, to a multi-sensing system for industrial robots. Background technique [0002] Industrial robots are "the pearl at the top of the manufacturing crown", and their R&D, manufacturing, and application are important symbols to measure the level of technological innovation and high-end manufacturing. With the development of science and technology and the increasing scope of application, people have higher and higher requirements for the performance of robots. In addition to traditional industrial robots that are widely used in the field of industrial automation, collaborative robots that can interact with humans have also been developed. These two robots have their own advantages, but there are also shortcomings. [0003] Traditional industrial robots are mainly used in industrial automation industry, such as spraying, palletizing, grinding and other ap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B25J9/16B25J11/00B25J13/08
CPCB25J9/161B25J9/1661B25J9/1666B25J11/0005B25J13/08
Inventor 周星徐坤林黄石峰景包睿谭文俊高培阳黄键
Owner FOSHAN INST OF INTELLIGENT EQUIP TECH
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