Humanoid robot training device

Abstract

The utility model discloses a humanoid robot training device, and relates to the field of humanoid robots, in particular to the humanoid robot training device which comprises a training table used for humanoid robot training, and a plurality of placing tables used for placing humanoid robot grabbing pieces are arranged on the training table. The placing table comprises an upper table body, a lower table body and a connecting piece used for adjusting the height of the upper table body, the distance sensor is connected with a controller through a data processing unit of the area, and the output end of the controller is connected with a displayer used for displaying distance data captured by all the areas. According to the humanoid robot, the problems that when an existing humanoid robot grabs objects, the grabbing precision needs to be evaluated, the humanoid robot needs to be trained, and the grabbing precision of the humanoid robot cannot be evaluated are solved, so that the grabbing precision of the humanoid robot cannot be evaluated, and the grabbing precision of the humanoid robot cannot be evaluated. The problem that the device for training the humanoid robot is lacked in the market at present is solved.

Description

Technical Field

[0001] This utility model relates to the field of humanoid robots, specifically a humanoid robot training device. Background Technology

[0002] Humanoid robots, also known as androids, are robots designed to mimic human appearance and behavior, especially those with human-like physiques. Until recently, the concept of humanoid robots primarily remained in the realm of science fiction, commonly appearing in movies, television, comics, and novels. Advances in robotics have enabled the design of functional and lifelike humanoid robots. Methods based on multi-fingered manipulators, through remote operation and data analysis, allow robots to flexibly grasp and manipulate objects.

[0003] The accuracy of existing humanoid robots in grasping objects needs to be evaluated, which requires training the humanoid robots. Currently, there is a lack of such devices on the market for training humanoid robots.

[0004] Therefore, a new type of humanoid robot training device needs to be designed to solve the above problems. Utility Model Content

[0005] The purpose of this invention is to provide a humanoid robot training device to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, this utility model provides the following technical solution: a humanoid robot training device, comprising a training platform for training the humanoid robot, wherein the training platform is provided with multiple placement platforms for placing humanoid robot grippers, each placement platform including an upper platform body, a lower platform body, and a connecting member for adjusting the height of the upper platform body, the top of the upper platform body is provided with a placement slot for placing the grippers, the placement platform is divided into sections with multiple distance sensors for capturing the gripping position, the bottom of the placement slot is provided with a weight sensor for determining the timing of the capture, the distance sensors are connected to a controller through the data processing unit of that section, and the output of the controller is connected to a display for displaying the distance data captured in each section, and each section distance sensor measures the distance between itself and the robot gripper after receiving the signal from the weight sensor.

[0007] Preferably, the connector includes a screw mounted on the lower platform and a connecting plate fixedly mounted on the upper platform. The screw is screwed to the connecting plate, and the lower platform is provided with a driving component that cooperates with the screw.

[0008] Preferably, the lower platform is provided with guide posts, and the lower middle part of the upper platform is provided with guide grooves that cooperate with the guide posts.

[0009] Preferably, the guide post is provided with a movable groove that cooperates with the connecting plate, and the screw is located inside the movable groove.

[0010] Preferably, the driving component includes a motor, a first gear is mounted on the screw, and a second gear that meshes with the first gear is mounted on the output end of the motor.

[0011] Compared with the prior art, the beneficial effects of this utility model are:

[0012] In this invention, a placement platform is set on the training platform. The placement platform consists of an upper platform and a lower platform. The gripping component can be placed in the placement slot on the upper platform. A weight sensor can determine the timing of detection, and multiple distance sensors can detect the distance between the gripper and the robot gripper. The accuracy of gripping is improved by training the humanoid robot to grasp the component and increase the range of changes in the distance between the robot gripper and the upper platform. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the overall structure of this utility model.

[0014] Figure 2 This is a front view of the present invention.

[0015] Figure 3 This utility model Figure 2 A three-dimensional cross-sectional view of point AA in the middle.

[0016] Figure 4 This utility model Figure 3 Enlarged view of point A in the middle.

[0017] Figure 5 This is an exploded view of the placement platform in this utility model.

[0018] Figure 6 This is a schematic diagram of the principle of this utility model.

[0019] In the diagram: 1. Training platform; 2. Upper platform; 3. Lower platform; 4. Placement slot; 5. Distance sensor; 6. Weight sensor; 7. Screw; 8. Connecting plate; 9. Guide post; 10. Guide groove; 11. Moving groove; 12. Motor; 13. Gear 1; 14. Gear 2. Detailed Implementation

[0020] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0021] All electronic components within this application are controlled by an external controller.

[0022] Embodiment 1

[0023] Please refer to Figure 1-6 As shown, the present utility model provides a humanoid robot training device, including a training platform 1 for humanoid robot training. Multiple placement platforms for placing humanoid robot grasping parts are provided on the training platform 1. The placement platform includes an upper platform body 2, a lower platform body 3 mounted thereon, and a connecting member for adjusting the height of the upper platform body 2. A placement groove 4 for placing the grasping part is provided at the top of the upper platform body 2. Multiple distance sensors 5 for capturing the grasping position are partitioned and provided on the placement platform. A weight sensor 6 for judging the capture timing is provided at the bottom of the placement groove 4. The distance sensor 5 is connected to the controller through the data processing unit of this area. The output end of the data processing unit is connected to a display for displaying the captured distance data of each area. After the distance sensors 5 in each area receive the signal sent by the weight sensor 6, the distance between them and the robot gripper is measured.

[0024] The training platform 1 is semi-open. The cross-section of the training platform 1 is preferably in the shape of a "匚". The humanoid robot can move freely inside the training platform 1. There can be multiple placement platforms. The grasping part is a long rod placed vertically. The placement platform is composed of the upper platform body 2 and the lower platform body 3 connected by sliding. The upper platform body 2 can drive the grasping part to rise and fall through the connecting member, which can train the grasping effect of the humanoid robot at different heights. Both the distance sensor 5 and the weight sensor 6 can be directly purchased on the market. The output end of the weight sensor 6 is connected to the input end of the controller. The controller is connected to the distance sensor 5 through a wireless signal. The output end of the distance sensor 5 is connected to the input end of the data processing unit of this area. The output ends of multiple data processing units are connected to the input end of the display. When the long rod is grabbed by the humanoid robot, the weight sensor 6 captures the weight change signal and transmits this signal to the controller through wireless signals. The controller enables multiple distance sensors 5 to detect the distance between them and the humanoid robot gripper. Through multiple trainings, the change range of this distance is reduced to improve the grasping accuracy.

[0025] Specifically, the connecting component includes a screw 7 mounted on the lower platform 3 and a connecting plate 8 fixedly mounted on the upper platform 2. The screw 7 is screwed to the connecting plate 8. The lower platform 3 is provided with a driving component that cooperates with the screw 7. The driving component includes a motor 12. A gear 13 is mounted on the screw 7. A gear 2 14 that cooperates with the gear 13 is mounted on the output end of the motor 12. The screw 7 is rotatably connected to the lower platform 3. The connecting plate 8 is fixed to the upper platform 2. The screw 7 is screwed to the connecting plate 8. The driving component can drive the screw 7 to rotate. The motor 12 can be purchased directly from the market. The gear 13 is fixed to the screw 7. The gear 2 14 is fixed to the output end of the motor 12. The gear 13 and the gear 2 14 mesh. The number of teeth of the gear 2 14 is less than that of the gear 13. The screw 7 rotates at a slower speed, which allows for higher precision in the lifting and lowering adjustment of the upper platform 2.

[0026] Based on the above embodiments, specifically, the lower platform 3 is provided with a guide post 9, and the lower middle part of the upper platform 2 is provided with a guide groove 10 that cooperates with the guide post 9; the guide post 9 is provided with a moving groove 11 that cooperates with the connecting plate 8, the screw 7 is located inside the moving groove 11, the guide post 9 is located at the top of the lower platform 3, the guide groove 10 is opened at the bottom of the upper platform 2, the upper platform 2 and the lower platform 3 are slidably connected by the guide post 9 and the guide groove 10, the moving groove 11 is opened on the guide post 9, and the connecting plate 8 is anti-rotationally engaged with the moving groove 11, which can improve the accuracy of the height adjustment of the upper platform 2.

[0027] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

[0028] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A humanoid robot training device, characterized by, The training platform (1) for training humanoid robots is provided with multiple placement platforms for placing humanoid robot grippers. Each placement platform includes an upper platform (2), a lower platform (3), and a connecting piece for adjusting the height of the upper platform (2). The top of the upper platform (2) is provided with a placement slot (4) for placing the gripping object. The placement platform is divided into sections and provided with multiple distance sensors (5) for capturing the gripping position. The bottom of the placement slot (4) is provided with a weight sensor (6) for judging the timing of the capture. The distance sensor (5) is connected to the controller through the data processing unit. The output of the controller is connected to a display for displaying the distance data captured by each zone. After receiving the signal from the weight sensor (6), the distance sensor (5) of each zone measures the distance between itself and the robot gripper.

2. The humanoid robot training device of claim 1, wherein: The connector includes a screw (7) mounted on the lower platform (3) and a connecting plate (8) fixedly mounted on the upper platform (2). The screw (7) is screwed to the connecting plate (8). The lower platform (3) is provided with a driving component that cooperates with the screw (7).

3. The humanoid robot training device of claim 2, wherein: The lower platform (3) is provided with a guide post (9), and the middle and lower part of the upper platform (2) is provided with a guide groove (10) that cooperates with the guide post (9).

4. The humanoid robot training device of claim 3, wherein: The guide post (9) is provided with a moving groove (11) that cooperates with the connecting plate (8), and the screw (7) is located inside the moving groove (11).

5. The humanoid robot training device of claim 4, wherein: The driving component includes a motor (12), a first gear (13) is mounted on the screw (7), and a second gear (14) that cooperates with the first gear (13) is mounted on the output end of the motor (12).

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