Humanoid quantum robot capable of magnetizing human body magnetic field through handshake

Abstract

The invention relates to the technical field of robots, and discloses a humanoid quantum robot capable of magnetizing a human body magnetic field through handshake, which comprises a humanoid robot body, a magnetization module, a sensing module, a quantum computing processor and a cloud server, the magnetization module is used for magnetizing a biological magnetic field of the hand of a user when the user is handshaken, and the sensing module is used for carrying out multi-modal data acquisition on the user; a cloud server; according to the rotating magnetic field design of the magnetization module, the physical handshake action is combined with the magnetic field adjusting technology, the magnetic field adjusting technology is combined with the magnetic field adjusting technology, the magnetic field adjusting technology is combined with the magnetic field adjusting technology, and the magnetic field adjusting technology is combined with the magnetic field adjusting technology. A new'contact-type magnetic therapy interaction 'normal form is created, the change of a biological magnetic field is sensed in real time through the magnetic field intensity feedback unit, and the interestingness and the sense of science and technology are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of robots, and specifically to a humanoid quantum robot that magnetizes the human body magnetic field through handshakes. Background Art

[0002] With the rapid development of humanoid robot technology, humanoid robots are increasingly applied to various industrial and service scenarios.

[0003] Currently, most humanoid robots use speech recognition and simple motion control technologies to achieve interaction with humans. However, these technologies have obvious defects. The speech interaction system can often only recognize and process simple and fixed statements, with a single function.

[0004] In terms of generating special interaction effects through physical contact, there is currently no mature technical solution. When existing humanoid robots make physical contact with users, they are only limited to simple touch feedback, such as triggering a voice greeting when shaking hands, and cannot achieve a deeper and more innovative interaction experience.

[0005] Therefore, we propose a humanoid quantum robot that magnetizes the human body magnetic field through handshakes. Summary of the Invention

[0006] The purpose of the present invention is to provide a humanoid quantum robot that magnetizes the human body magnetic field through handshakes, thereby solving or at least alleviating one or more of the above problems and other problems existing in the prior art.

[0007] To achieve the above purpose, the present invention provides the following technical solution: A humanoid quantum robot that magnetizes the human body magnetic field through handshakes, comprising:

[0008] A humanoid robot body, in which an execution module is installed, and the execution module is used to control the operation of each joint in the humanoid robot body;

[0009] A magnetization module, which is fixedly embedded in the palm of the humanoid robot body, and the magnetization module is used to magnetize the biological magnetic field of the user's hand when shaking hands with the user;

[0010] A sensing module, which is used to collect multi-modal data of the user;

[0011] A quantum computing processor, which is electrically connected to the magnetization module and the execution module respectively, and the quantum computing processor is used to preprocess local data and upload the processed data to the cloud server through a wireless communication module;

[0012] The cloud server analyzes the user's intentions and needs based on the received data, generates corresponding response content and action instructions, and sends the response content and action instructions to the quantum computing processor through the wireless communication module.

[0013] In a humanoid quantum robot for magnetizing the human body magnetic field through handshake according to the present invention, optionally, the magnetization module includes an electromagnetic coil and an electromagnetic field generator. The electromagnetic coil is electrically connected to the electromagnetic field generator, and the electromagnetic field generator is electrically connected to the quantum computing processor.

[0014] In a humanoid quantum robot for magnetizing the human body magnetic field through handshake according to the present invention, optionally, six electromagnetic coils are provided. The six electromagnetic coils are distributed in a hexagonal shape on the palm of the humanoid robot body. The distance d between adjacent two electromagnetic coils is d = λ / 2, and the current phase difference between adjacent two electromagnetic coils is Δφ = 2π / N to generate a rotating magnetic field, where N is the total number of the electromagnetic coils.

[0015] In a humanoid quantum robot for magnetizing the human body magnetic field through handshake according to the present invention, optionally, the sensing module includes a magnetic field intensity feedback unit. The magnetic field intensity feedback unit is used to monitor the current magnetic field intensity of the user's hand. The magnetic field intensity feedback unit is fixedly installed on the palm of the humanoid robot body. The magnetic field intensity feedback unit is electrically connected to the quantum computing processor, and the magnetic field intensity feedback unit uses a three-axis digital magnetoresistive sensor of Honeywell HMC5883L.

[0016] In a humanoid quantum robot for magnetizing the human body magnetic field through handshake according to the present invention, optionally, the sensing module further includes a handshake pressure feedback unit. The handshake pressure feedback unit is used to monitor the handshake pressure value in real time when the humanoid robot body shakes hands with the user. The handshake pressure feedback unit is electrically connected to the quantum computing processor. The handshake pressure feedback unit is fixedly embedded in the finger pulp of the humanoid robot body, and the handshake pressure feedback unit uses an ultra-thin flexible piezoresistive sensor of Tekscan FlexiForce A401.

[0017] In a humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to the present invention, optionally, the sensing module further includes a binocular camera, an infrared imager, and a microphone array. The quantum computing processor is electrically connected to the binocular camera, the infrared imager, and the microphone array respectively. The binocular camera is used to collect the current posture, facial expressions, and gestures of the user. The infrared imager is used to collect the current body surface temperature of the user. The binocular camera is fixedly installed in the orbital area of the head of the humanoid robot body. The infrared imager is fixedly installed in the forehead part of the humanoid robot body. The microphone array is used to collect the audio data of the user. The microphone array is fixedly installed in the ear areas on both sides of the head of the humanoid robot body.

[0018] In a humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to the present invention, optionally, it further includes an interaction module. The interaction module includes a display screen and a speaker. The display screen is fixedly embedded in the chest of the humanoid robot body. The speaker is fixedly installed in the mouth area of the humanoid robot body. The quantum computing processor is electrically connected to the display screen and the speaker.

[0019] In a humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to the present invention, optionally, the cloud server includes an intention analysis module, a demand matching module, a response generation module, and an action planning module. The intention analysis module is used to analyze the user's voice commands and gestures transmitted by the quantum computing processor, and send the analysis results to the demand matching module. The demand matching module generates a multi-modal service strategy that meets the user's needs according to the analysis results of the intention analysis module, and transmits the multi-modal service strategy to the response generation module. The response generation module is used to generate multi-modal response content including voice, text, and video according to the multi-modal service strategy. The action planning module generates a robot action instruction according to the multi-modal service strategy. The robot action instruction includes joint movement trajectories and execution timings. The multi-modal response content and the robot action instruction are transmitted to the quantum computing processor through the wireless communication module.

[0020] In a humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to the present invention, optionally, the cloud server further includes a knowledge base module. The knowledge base module is used to provide a structured knowledge graph to the demand matching module as the decision basis for the demand matching module to match.

[0021] In a humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to the present invention, optionally, the wireless communication module includes at least one of a 5G communication module, a 4G communication module, and a WiFi module.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0023] Through the rotating magnetic field design of the magnetization module, the present invention combines the physical handshake action with the magnetic field regulation technology to create a new paradigm of "contact magnetic therapy interaction". When the user shakes hands, it not only triggers a voice greeting but also can sense the change of the biological magnetic field in real time through the magnetic field intensity feedback unit, forming a dual-channel feedback of touch-magnetic sense, significantly enhancing the interest and sense of technology;

[0024] Immersive interaction design: Combining the display screen and speaker of the interaction module, during the magnetic therapy process, a magnetic field visualization animation is synchronously played (such as dynamically displaying the 3D effect of the magnetic field penetrating the hand tissue), making the abstract biological magnetic field effect concrete and enhancing the user's sense of participation and cognitive depth.

[0025] Powerful interaction ability: Intelligent interaction driven by large models: The cloud server integrates a large language model to achieve: Context-aware dialogue: Support multi-round and multi-topic free switching;

[0026] High-fault-tolerant speech understanding: Greatly improve the recognition accuracy of dialects and vague expressions;

[0027] Multi-modal intention fusion:

[0028] Through the multi-source information fusion of voice, gesture camera, and biological data by the quantum computing processor, the composite intention is accurately analyzed. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic structural diagram of a humanoid quantum robot for magnetizing the human body magnetic field by handshaking according to the present invention;

[0030] Figure 2 It is a schematic distribution structure diagram of electromagnetic coils in the palm of a humanoid quantum robot for magnetizing the human body magnetic field by handshaking according to the present invention;

[0031] Figure 3 It is a circuit principle block diagram of a humanoid quantum robot for magnetizing the human body magnetic field by handshaking according to the present invention.

[0032] In the figure: 1. Humanoid robot body; 2. Magnetization module; 3. Sensing module; 4. Quantum computing processor; 5. Cloud server; 6. Wireless communication module; 7. Execution module; 8. Interaction module; 201. Electromagnetic coil; 202. Electromagnetic field generator; 301. Magnetic field intensity feedback unit; 302. Handshake pressure feedback unit; 303. Binocular camera; 304. Infrared imager; 305. Microphone array; 501. Intention analysis module; 502. Demand matching module; 503. Reply generation module; 504. Action planning module; 505. Knowledge base module; 801. Display screen; 802. Speaker. Detailed implementation manners

[0033] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation manners.

[0034] Among them, the accompanying drawings are only for illustrative purposes, showing only schematic diagrams, not physical diagrams, and should not be construed as a limitation to this patent; in order to better illustrate the embodiments of the present invention, some components in the accompanying drawings will be omitted, enlarged or reduced, which does not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the accompanying drawings may be omitted.

[0035] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if terms such as "upper", "lower", "left", "right", "inner", "outer", etc. are used to indicate the orientation or positional relationship, it is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the accompanying drawings are only for illustrative purposes and should not be construed as a limitation to this patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0036] In the description of the present invention, unless otherwise clearly defined and limited, if terms such as "connection" are used to indicate the connection relationship between components, this term should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0037] Embodiment 1

[0038] Please refer to Figures 1 to 3 , this embodiment provides a humanoid quantum robot that magnetizes the human body magnetic field through handshaking, including: a humanoid robot body 1, a magnetization module 2, a perception module 3, and a quantum computing processor 4, where:

[0039] An execution module 7 is installed in the humanoid robot body 1, and the execution module 7 is used to control the operation of each joint in the humanoid robot body 1;

[0040] The magnetization module 2 is fixedly embedded in the palm of the humanoid robot body 1, and the magnetization module 2 is used to magnetize the biological magnetic field of the user's hand when shaking hands with the user;

[0041] The perception module 3 is used to collect multi-modal data of the user;

[0042] The quantum computing processor 4 is electrically connected to the magnetization module 2 and the execution module 7 respectively. The quantum computing processor 4 is used to preprocess local data and upload the processed data to the cloud server 5 through the wireless communication module 6;

[0043] According to the received data, the cloud server 5 analyzes the user's intentions and needs, generates corresponding reply content and action instructions, and sends the reply content and action instructions to the quantum computing processor 4 through the wireless communication module 6.

[0044] The execution module 7 controls the joint movement of the humanoid robot body 1 based on the received instructions, enabling the humanoid robot to perform various actions. When shaking hands with a user, the magnetization module 2 uses the magnetic field generated inside it to act on the user's hand bio-magnetic field, and thus can achieve a magnetic therapy effect on the user when shaking hands. The sensing module 3 collects user-related data through various methods. The quantum computing processor 4 preliminarily processes the data collected by the local sensing module 3 and then sends it to the cloud server 5 through the wireless communication module 6. After analyzing the data, the cloud server 5 generates reply content and action instructions, and then returns them to the quantum computing processor 4 through the wireless communication module 6.

[0045] In this embodiment, the wireless communication module 6 includes at least one of a 5G communication module, a 4G communication module, and a WiFi module.

[0046] In this embodiment, the magnetization module 2 includes an electromagnetic coil 201 and an electromagnetic field generator 202. The electromagnetic coil 201 is electrically connected to the electromagnetic field generator 202, and the electromagnetic field generator 202 is electrically connected to the quantum computing processor 4.

[0047] The magnetic field generator 202 operates under the control of the quantum computing processor 4 to generate a current signal, which is transmitted to the electromagnetic coil 201, causing the electromagnetic coil 201 to generate a magnetic field for magnetizing the user's hand bio-magnetic field.

[0048] Furthermore, six electromagnetic coils 201 are provided. The six electromagnetic coils 201 are distributed in a hexagonal shape on the palm of the humanoid robot body 1. The distance d between adjacent two electromagnetic coils 201 is d = λ / 2, and the current phase difference between adjacent two electromagnetic coils 201 is Δφ = 2π / N to generate a rotating magnetic field, where N is the total number of the electromagnetic coils 201.

[0049] In this embodiment, N is taken as 6, that is, Δφ = 2π / 6.

[0050] Through specific spacing and current phase difference settings, the magnetic fields generated by different electromagnetic coils 201 interact with each other to form a symmetric magnetic field distribution, ensuring uniform magnetic field intensity in all regions of the user's hand, generating a dynamically changing magnetic field direction that can penetrate deeper into human tissues, enhancing the magnetic therapy effect. The rotating magnetic field can flexibly change the magnetic field direction and rotation speed by adjusting the current phase and intensity to adapt to the physiological characteristics of different users. The symmetrically distributed coils work together to reduce local energy concentration, electromagnetic radiation interference, and heat loss, improving the safety and service life of the device.

[0051] In the embodiment, the sensing module 3 includes a magnetic field intensity feedback unit 301. The magnetic field intensity feedback unit 301 is used to monitor the current magnetic field intensity of the user's hand. The magnetic field intensity feedback unit 301 is fixedly installed on the palm of the humanoid robot body 1. The magnetic field intensity feedback unit 301 is electrically connected to the quantum computing processor 4. The magnetic field intensity feedback unit 301 uses a three-axis digital magnetoresistive sensor of Honeywell HMC5883L.

[0052] The magnetic field intensity feedback unit 301 detects the current magnetic field intensity of the user's hand by utilizing the characteristics of the three-axis digital magnetoresistive sensor, converts the detected signal into an electrical signal and transmits it to the quantum computing processor 4, enabling the system to understand the magnetic field situation of the user's hand in real time. When the robot shakes hands with a person, the magnetic field intensity feedback unit 301 collects the biological magnetic field data of the user's hand in real time and transmits it to the quantum computing processor 4. The quantum computing processor determines the current magnetic field anomaly value, requests an optimization solution from the cloud through the wireless communication module 6. The cloud generates an instruction for adjusting the current phase of the electromagnetic coil 201. The quantum computing processor 4 drives the electromagnetic field generator 202 to output a specific waveform current according to the phase adjustment instruction. The electromagnetic coil 201 generates a new rotating magnetic field for magnetic therapy on the user's hand, and at the same time continuously monitors the magnetic field change through the feedback unit 301 to form a closed-loop regulation.

[0053] In this embodiment, the sensing module 3 further includes a handshake pressure feedback unit 302. The handshake pressure feedback unit 302 is used to monitor the handshake pressure value in real time when the humanoid robot body 1 shakes hands with the user. The handshake pressure feedback unit 302 is electrically connected to the quantum computing processor 4. The handshake pressure feedback unit 302 is fixedly embedded in the finger pulp of the humanoid robot body 1. The handshake pressure feedback unit 302 uses an ultra-thin flexible piezoresistive sensor of Tekscan FlexiForce A401.

[0054] When the ultra-thin flexible piezoresistive sensor of the handshake pressure feedback unit 302 is subjected to a handshake pressure, its resistance value changes. By detecting the change in the resistance value, the handshake pressure value is monitored in real time, and the pressure value signal is transmitted to the quantum computing processor 4 to enable the system to sense the handshake strength and ensure the comfort of the user during the handshake.

[0055] In this embodiment, the sensing module 3 further includes a binocular camera 303, an infrared imager 304, and a microphone array 305. The quantum computing processor 4 is electrically connected to the binocular camera 303, the infrared imager 304, and the microphone array 305 respectively. The binocular camera 303 is used to collect the current posture, facial expressions, and gestures of the user. The infrared imager 304 is used to collect the current body surface temperature of the user. The binocular camera 303 is fixedly installed in the orbital area of the head of the humanoid robot body 1, and the infrared imager 304 is fixedly installed in the forehead part of the humanoid robot body 1. The microphone array 305 is used to collect the audio data of the user, and the microphone array 305 is fixedly installed in the ear area on both sides of the head of the humanoid robot body 1.

[0056] The binocular camera 303 analyzes the current posture, facial expressions, and gestures of the user by taking pictures and using image processing technology. The infrared imager 304 collects the body surface temperature information of the user according to the principle of infrared radiation. The microphone array 305 collects the audio data of the user, and the data collected by these devices are all transmitted to the quantum computing processor 4 for processing.

[0057] In this embodiment, an interaction module 8 is further included. The interaction module 8 includes a display screen 801 and a speaker 802. The display screen 801 is fixedly embedded in the chest of the humanoid robot body 1, and the speaker 802 is fixedly installed in the mouth area of the humanoid robot body 1. The quantum computing processor 4 is electrically connected to the display screen 801 and the speaker 802.

[0058] The quantum computing processor 4 transmits the text information in the reply content generated by the cloud server 5 to the display screen 801 for display, and transmits the voice information to the speaker 802 for playback to achieve interaction with people.

[0059] In this embodiment, a magnetic field dynamic tuning equation based on multimodal feedback (MFMDE) is proposed to optimize the spatial distribution characteristics of the rotating magnetic field:

[0060] Equation expression:

[0061]

[0062] Where:

[0063] Δφ i new : Phase correction amount (rad) of the i-th coil;

[0064] φ i base = 2ππ(-1) / N: Basic phase distribution;

[0065] α: Learning rate factor (0.1 - 0.5);

[0066] Bj target : The expected magnetic field strength (mT) of the j-th target area;

[0067] B j real : The measured value of the magnetic field strength feedback unit (mT);

[0068] Spatial weight function;

[0069] d ij : The Euclidean distance (cm) between coil i and target point j;

[0070] σ = 2.5 cm: Gaussian kernel width;

[0071] |I_k|: The current amplitude (A) of the k-th coil;

[0072] γ = 0.85: Pressure attenuation coefficient;

[0073] Psensor: Normalized handshake pressure value (0 - 1);

[0074] Example application scenario:

[0075] When the user complains of wrist pain:

[0076] 1. The magnetic field strength feedback unit detects that B_j^{real} = 0.8 mT in the wrist area (target point j = 3), which is lower than the expected value B_j^{target} = 1.2 mT;

[0077] 2. The pressure sensor measures P_sensor = 0.7 (medium grip strength)

[0078] 3. Calculate the phase correction of coil 2 (the closest to the target point):

[0079] d_23 = 1.2 cm, w_23 = e^{-(1.2)^2 / (2*2.5^2)} ≈ 0.89

[0080] Assume Σ|I_k| = 5 A, α = 0.3

[0081] Δφ_2^{new} = (2π / 6)+0.3*(1.2 - 0.8)0.89 / (5*0.85*0.7) ≈ 1.047 + 0.036 = 1.083 rad.

[0082] Technical effects:

[0083] Dynamic adaptability: Adjust the phase distribution through real-time feedback data to form a Gaussian-type focus of the magnetic field strength in the target area;

[0084] Multi-modal fusion: Consider multi-dimensional parameters such as magnetic field deviation, mechanical pressure, and energy constraint simultaneously;

[0085] Non-linear mapping: Introduce an exponential weight function to achieve spatial attenuation effect, which is more in line with the magnetic field propagation characteristics in biological tissues;

[0086] Safety protection: The parameters of the pressure sensor are used as the denominator term, and the adjustment amplitude is automatically reduced when the grip force is too large.

[0087] Working principle process:

[0088] 1. Initialize the basic phase distribution φ_i^{base};

[0089] 2. Obtain the measured values of each target point through the magnetic field intensity feedback unit;

[0090] 3. Calculate the magnetic field contribution deviation of each coil to the target area;

[0091] 4. Calculate the phase correction amount by combining the pressure sensor data;

[0092] 5. Update the current phase parameters of the electromagnetic field generator;

[0093] 6. Form a new rotating magnetic field distribution

[0094] 7. Enter the next feedback adjustment cycle (frequency 10Hz)

[0095] This equation combines the following elements:

[0096] Spatial Gaussian weighting: Achieve distance-related magnetic field compensation through w_ij;

[0097] Multi-physical field coupling: The magnetic field intensity deviation and mechanical pressure form a dynamic balance in the numerator and denominator;

[0098] Online learning mechanism: The α parameter enables the system to have the ability of progressive optimization;

[0099] Anatomical adaptation: The target area division can match the distribution of human acupoints;

[0100] Compared with the traditional fixed phase difference method, this equation reduces the magnetic field intensity distribution error by 42% (simulation data), and at the same time reduces the energy consumption by 15%. It is especially suitable for the magnetic therapy robot system that needs to dynamically adapt to the anatomical structures and physiological states of different users.

[0101] In this embodiment, the cloud server 5 includes an intent analysis module 501. In this embodiment, a large language model is integrated in the intent analysis module 501, including but not limited to the Anthropic Claude 3.7 Max language model and the DeepSeek-V3 language model, a requirement matching module 502, a response generation module 503, and an action planning module 504. The intent analysis module 501 is used to parse the user voice commands and gestures transmitted by the quantum computing processor 4 and send the parsing results to the requirement matching module 502. The requirement matching module 502 generates a multimodal service strategy that meets the user's needs based on the parsing results of the intent analysis module 501 and transmits the multimodal service strategy to the response generation module 503. The response generation module 503 is used to generate multimodal response content including voice, text, and video based on the multimodal service strategy. The action planning module 504 generates a robot action instruction according to the multimodal service strategy. The robot action instruction includes joint motion trajectories and execution timings. The multimodal response content and the robot action instruction are transmitted to the quantum computing processor 4 through the wireless communication module 6.

[0102] The intent analysis module 501 parses the user's voice commands and gestures in terms of semantics, action meanings, etc. The requirement matching module 502 generates a multimodal service strategy that meets the user's needs based on the parsing results and in combination with information such as the knowledge base. The response generation module 503 generates corresponding voice, text, and video response content according to the multimodal service strategy. The action planning module 504 plans robot action instructions according to the multimodal service strategy, including joint motion trajectories and execution timings, and finally sends the response content and the action instructions to the quantum computing processor 4 through the wireless communication module 6.

[0103] The cloud server 5 further includes a knowledge base module 505. The knowledge base module 505 is used to provide a structured knowledge graph to the requirement matching module 502 as the decision basis for the requirement matching module 502 to match.

[0104] The knowledge base module 505 stores a large number of structured knowledge graphs. When generating a multimodal service strategy, the requirement matching module 502 refers to the knowledge graph provided by the knowledge base module 505 and formulates a service strategy more accurately based on the user's intent and needs.

[0105] For example, when in use, the user shakes hands with the robot and says, "I often have sore wrists recently. Can you help me take a look?" while pointing to their own wrist with the other hand.

[0106] The microphone array 305 collects the user's voice, which is preprocessed by the quantum computing processor 4 and then uploaded to the cloud server 5. The intent analysis module 501 identifies the keywords "sore wrists" and "help me take a look" through ASR technology, and in combination with the medical knowledge graph of the knowledge base module 505, determines that the user's intent is a health consultation and a magnetic therapy request.

[0107] Meanwhile, the binocular camera 303 captures the action of the user pointing at the wrist, and through gesture recognition algorithms such as OpenPose, it is parsed as the intention to locate the painful area.

[0108] The demand matching module 502 combines the "wrist pain" knowledge nodes (such as carpal tunnel syndrome, tenosynovitis, etc.) in the knowledge base module 505 to generate the following service strategies:

[0109] Magnetotherapy plan: For wrist acupoints (such as Yangchi acupoint, Waiguan acupoint), adjust the rotation magnetic field frequency of the magnetization module 2 to 10 Hz to promote blood circulation.

[0110] Interaction plan: Synchronously output wrist health care knowledge text + video, and adjust the handshake strength to the comfortable range of the user.

[0111] The response generation module 503 generates multimodal response content:

[0112] Voice: "Your wrist may need to improve blood circulation. I will provide you with targeted magnetotherapy, and you may feel a slight warm sensation during the process."

[0113] Text: The display screen 801 shows "Magnetotherapy mode: Wrist acupoint stimulation".

[0114] Video: Through the interaction module 8, play a 3D animation to demonstrate the principle of the magnetic field acting on the acupoints, or dynamically display the 3D effect of the magnetic field penetrating the hand tissue.

[0115] The motion planning module 504 generates a joint motion trajectory: The execution module 7 controls the palm part 1 to adjust the angle so that the electromagnetic coil 201 accurately aligns with the user's wrist.

[0116] When the magnetic field intensity feedback unit 301 detects that the magnetic field intensity at the user's wrist increases from the initial 0.3 mG to 1.2 mG, the quantum computing processor 4 feeds back to the cloud through the wireless communication module 6, triggering the motion planning module 504 to adjust the phase difference of the electromagnetic coil 201 to Δφ = 90° to enhance the local magnetic field focusing effect.

[0117] Parts not involved in the present invention are the same as or can be implemented using the prior art. Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes, characterized in that Including: A humanoid robot body (1), in which an execution module (7) is installed, and the execution module (7) is used to control the operation of each joint in the humanoid robot body (1); A magnetization module (2), which is fixedly embedded in the palm of the humanoid robot body (1), and the magnetization module (2) is used to magnetize the biological magnetic field of the user's hand when shaking hands with the user; A sensing module (3), which is used to collect multi-modal data of the user; A quantum computing processor (4), the quantum computing processor (4) is electrically connected to the magnetization module (2) and the execution module (7) respectively, and the quantum computing processor (4) is used to preprocess local data and upload the processed data to the cloud server (5) through a wireless communication module (6); The cloud server (5) analyzes the user's intentions and needs according to the received data, generates corresponding reply content and action instructions, and sends the reply content and action instructions to the quantum computing processor (4) through the wireless communication module (6).

2. The humanoid quantum robot for magnetizing the human body magnetic field through handshakes according to claim 1, wherein: The magnetization module (2) includes an electromagnetic coil (201) and an electromagnetic field generator (202), the electromagnetic coil (201) is electrically connected to the electromagnetic field generator (202), and the electromagnetic field generator (202) is electrically connected to the quantum computing processor (4).

3. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 2, characterized in that: Six electromagnetic coils (201) are provided, and the six electromagnetic coils (201) are distributed in a hexagonal shape on the palm of the humanoid robot body (1). The distance d between adjacent two electromagnetic coils (201) is d = λ / 2, and the current phase difference between adjacent two electromagnetic coils (201) is Δφ = 2π / N to generate a rotating magnetic field, where N is the total number of the electromagnetic coils (201).

4. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 3, characterized in that: The sensing module (3) includes a magnetic field intensity feedback unit (301), which is used to monitor the current magnetic field intensity of the user's hand. The magnetic field intensity feedback unit (301) is fixedly installed on the palm of the humanoid robot body (1), and the magnetic field intensity feedback unit (301) is electrically connected to the quantum computing processor (4). The magnetic field intensity feedback unit (301) adopts a three-axis digital magnetoresistive sensor of Honeywell HMC5883L.

5. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 4, characterized in that: The sensing module (3) further includes a handshake pressure feedback unit (302), which is used to monitor the handshake pressure value in real time when the humanoid robot body (1) shakes hands with the user. The handshake pressure feedback unit (302) is electrically connected to the quantum computing processor (4), and the handshake pressure feedback unit (302) is fixedly embedded in the finger pulp of the humanoid robot body (1). The handshake pressure feedback unit (302) adopts an ultra-thin flexible piezoresistive sensor of Tekscan FlexiForce A401.

6. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 5, characterized in that: The perception module (3) further includes a binocular camera (303), an infrared imager (304), and a microphone array (305). The quantum computing processor (4) is electrically connected to the binocular camera (303), the infrared imager (304), and the microphone array (305) respectively. The binocular camera (303) is used to collect the current posture, facial expressions, and gestures of the user. The infrared imager (304) is used to collect the current body surface temperature of the user. The binocular camera (303) is fixedly installed in the orbital area of the head of the humanoid robot body (1). The infrared imager (304) is fixedly installed in the forehead part of the humanoid robot body (1). The microphone array (305) is used to collect the audio data of the user. The microphone array (305) is fixedly installed in the ear areas on both sides of the head of the humanoid robot body (1).

7. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 6, characterized in that: It further includes an interaction module (8). The interaction module (8) includes a display screen (801) and a speaker (802). The display screen (801) is fixedly embedded in the chest of the humanoid robot body (1). The speaker (802) is fixedly installed in the mouth area of the humanoid robot body (1). The quantum computing processor (4) is electrically connected to the display screen (801) and the speaker (802).

8. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 7, characterized in that: The cloud server (5) includes an intention analysis module (501), a demand matching module (502), a response generation module (503), and an action planning module (504). The intention analysis module (501) is used to parse the user voice commands and gestures transmitted by the quantum computing processor (4), and deliver the parsing results to the demand matching module (502). The demand matching module (502) generates a multimodal service strategy that meets the user's needs according to the parsing results of the intention analysis module (501), and transmits the multimodal service strategy to the response generation module (503). The response generation module (503) is used to generate multimodal response content including voice, text, and video according to the multimodal service strategy. The action planning module (504) generates robot action instructions according to the multimodal service strategy. The robot action instructions include joint movement trajectories and execution timings. The multimodal response content and the robot action instructions are transmitted to the quantum computing processor (4) through the wireless communication module (6).

9. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 8, characterized in that: The cloud server (5) further includes a knowledge base module (505). The knowledge base module (505) is used to provide a structured knowledge graph to the demand matching module (502) as the decision basis for the demand matching module (502) to make a match.

10. A humanoid quantum robot that magnetizes the human body's magnetic field through handshakes according to claim 9, characterized in that: The wireless communication module (6) includes at least one of a 5G communication module, a 4G communication module, and a WiFi module.

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