A humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands

Abstract

The present invention relates to the field of robotics technology and discloses a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands. The robot comprises a humanoid robot body, a magnetization module, a perception module, a quantum computing processor, and a cloud server. The magnetization module is fixedly embedded in the palm of the humanoid robot body. The magnetization module is used to magnetize the biomagnetic field of the user's hand when shaking hands with the user. The perception module is used to perform multimodal data collection on the user. The cloud server analyzes the user's intentions and needs based on the received data, generates corresponding reply content and action instructions, and sends the reply content and action instructions to the quantum computing processor via a wireless communication module. The present invention combines the physical handshake action with the magnetic field regulation technology through the rotating magnetic field design of the magnetization module, creating a new paradigm of "contact magnetic therapy interaction". The changes in the biomagnetic field are perceived in real time through a magnetic field strength feedback unit, significantly improving the fun and sense of technology.

Description

Technical Field

[0001] The present invention relates to the field of robotics, in particular to a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands. Background Art

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

[0003] Currently, most humanoid robots use voice recognition and simple motion control technologies to interact with humans. However, these technologies have obvious flaws. Voice interaction systems can only recognize and process simple, fixed sentences and have limited functionality.

[0004] There's currently no mature technology for creating special interactive effects through physical contact. Existing humanoid robots are limited to simple touch feedback when interacting with users, such as triggering a voice greeting during a handshake, and are unable to achieve deeper, more innovative interactive experiences.

[0005] To this end, we propose a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands. Summary of the Invention

[0006] The object of the present invention is to provide a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands, thereby solving or at least alleviating one or more of the above-mentioned problems and other problems existing in the prior art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands, comprising:

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

[0009] a magnetization module, the magnetization module being fixedly embedded in the palm of the humanoid robot body, and being used to magnetize the biomagnetic field of the user's hand when shaking hands with the user;

[0010] A perception module, which is used to collect multimodal data of the user;

[0011] a quantum computing processor, the quantum computing processor being electrically connected to the magnetization module and the execution module, respectively, and configured to pre-process local data and upload the processed data to a cloud server via a wireless communication module;

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

[0013] In a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands 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 according to the present invention that magnetizes the human body's magnetic field by shaking hands, optionally, six electromagnetic coils are provided, and the six electromagnetic coils are distributed in a hexagonal shape on the palm of the humanoid robot body. The distance between two adjacent electromagnetic coils is d = λ / 2, and the current phase difference between two adjacent electromagnetic coils is Δφ = 2π / N, so as to generate a rotating magnetic field, where N is the total number of the electromagnetic coils.

[0015] In a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to the present invention, optionally, the perception module includes a magnetic field strength feedback unit, which is used to monitor the current magnetic field strength of the user's hand. The magnetic field strength feedback unit is fixedly mounted on the palm of the humanoid robot body, and the magnetic field strength feedback unit is electrically connected to the quantum computing processor. The magnetic field strength feedback unit adopts a three-axis digital magnetoresistive sensor of Honeywell HMC5883L.

[0016] In a humanoid quantum robot according to the present invention that magnetizes the human body's magnetic field by shaking hands, optionally, the perception module also includes a handshake pressure feedback unit, which is used to monitor in real time the handshake pressure value when the humanoid robot body shakes hands with the user. The handshake pressure feedback unit is electrically connected to the quantum computing processor, and the handshake pressure feedback unit is fixedly embedded in the fingertips of the humanoid robot body. The handshake pressure feedback unit adopts the Tekscan FlexiForceA401 ultra-thin flexible piezoresistive sensor.

[0017] In a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to the present invention, optionally, the perception module also includes a binocular camera, an infrared imager and a microphone array, and 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 user's current posture, facial expressions and gestures, and the infrared imager is used to collect the current user's body surface temperature. The binocular camera is fixedly installed in the eye socket area of ​​the head of the humanoid robot body, and the infrared imager is fixedly installed in the forehead of the humanoid robot body. The microphone array is used to collect the user's audio data, and the microphone array is fixedly installed in the ear area on both sides of the head of the humanoid robot body.

[0018] According to the present invention, a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands optionally further includes an interaction module, wherein 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, and 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 by shaking hands according to the present invention, optionally, the cloud server includes an intention analysis module, a demand matching module, a reply generation module and an action planning module. The intention analysis module is used to parse the user's voice instructions and gestures transmitted by the quantum computing processor, and transmit the parsing results to the demand matching module. The demand matching module generates a multimodal service strategy that meets the user's needs based on the parsing results of the intention analysis module, and transmits the multimodal service strategy to the reply generation module. The reply generation module is used to generate multimodal response content including voice, text and video according to the multimodal service strategy. The action planning module generates robot action instructions based on the multimodal service strategy. The robot action instructions include joint motion trajectories and execution timings. The multimodal response content and the robot action instructions 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 by shaking hands according to the present invention, optionally, the cloud server also includes a knowledge base module, which is used to provide a structured knowledge graph to the demand matching module as a decision basis for matching by the demand matching module.

[0021] In a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands 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 present invention has the following beneficial effects:

[0023] This invention combines the physical handshake action with magnetic field regulation technology through the rotating magnetic field design of the magnetization module, creating a new paradigm of "contact magnetic therapy interaction". When the user shakes hands, not only does it trigger a voice greeting, but the magnetic field intensity feedback unit can also sense the changes in the biomagnetic field in real time, forming a tactile and magnetic dual-channel feedback, significantly enhancing the fun and sense of technology.

[0024] Immersive interactive design: Combining the display screen and speakers of the interactive module, magnetic field visualization animations are played synchronously during the magnetic therapy process (such as the 3D effect of dynamically displaying the magnetic field penetrating the hand tissue), which visualizes the abstract biomagnetic field effect and enhances user participation and cognitive depth.

[0025] Powerful interactive capabilities: Intelligent interaction driven by large models: The cloud server integrates a large language model to achieve: context-aware dialogue: supports multi-round and multi-topic switching;

[0026] Highly tolerant speech understanding: significantly improves the recognition accuracy of dialects and ambiguous expressions;

[0027] Multimodal intent fusion:

[0028] Through the quantum computing processor, multi-source information fusion of voice, gesture camera, and biological data can be used to accurately analyze complex intentions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a schematic structural diagram of a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands.

[0030] Figure 2 This is a schematic diagram of the distribution structure of electromagnetic coils in the palm of a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands;

[0031] Figure 3 This is a circuit principle block diagram of a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands.

[0032] In the figure: 1. Humanoid robot body; 2. Magnetization module; 3. Perception 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. Intent analysis module; 502. Demand matching module; 503. Response generation module; 504. Action planning module; 505. Knowledge base module; 801. Display screen; 802. Speaker. DETAILED DESCRIPTION

[0033] The technical solution of the present invention will be further described below with reference to the accompanying drawings and through specific implementation methods.

[0034] Among them, the drawings are only used for illustrative purposes and represent only schematic diagrams rather than actual pictures, and should not be understood as limiting this patent; in order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do 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 drawings may be omitted.

[0035] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "inside", "outside" and the like indicate an orientation or position relationship based on the orientation or position relationship shown in the drawings, it is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0036] In the description of the present invention, unless otherwise expressly specified or limited, when the term "connection" or the like appears to indicate a connection relationship between components, such term should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be internal communication between two components or an interaction between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood in specific circumstances.

[0037] Example 1

[0038] See also Figures 1 to 3 This embodiment provides a humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands, including: a humanoid robot body 1, a magnetization module 2, a perception module 3, and a quantum computing processor 4, wherein:

[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. The magnetization module 2 is used to magnetize the biomagnetic field of the user's hand when shaking hands with the user;

[0041] The perception module 3 is used to collect multimodal 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 pre-process the local data and upload the processed data to the cloud server 5 through the wireless communication module 6;

[0043] The cloud server 5 analyzes the user's intentions and needs based on 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.

[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 person, the magnetization module 2 uses the magnetic field generated within it to act on the biomagnetic field of the user's hand, thereby achieving a magnetic therapy effect on the user when shaking hands with the user. The perception module 3 collects user-related data in various ways. The quantum computing processor 4 performs preliminary processing on the data collected by the local perception module 3, and then sends it to the cloud server 5 through the wireless communication module 6. The cloud server 5 analyzes the data and generates reply content and action instructions, which are then returned 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 biomagnetic field of the user's hand.

[0048] Furthermore, 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 between two adjacent electromagnetic coils 201 is d = λ / 2, and the current phase difference between two adjacent electromagnetic coils 201 is Δφ = 2π / N to generate a rotating magnetic field, where N is the total number of electromagnetic coils 201.

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

[0050] Through the specific spacing and current phase difference settings, the magnetic fields generated by different electromagnetic coils 201 interact with each other to form a symmetrical magnetic field distribution, ensuring that the magnetic field intensity in each area of ​​the user's hand is uniform, generating a dynamically changing magnetic field direction, which can penetrate deeper into human tissue and enhance 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, reduce electromagnetic radiation interference and heat loss, and improve equipment safety and service life.

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

[0052] The magnetic field strength feedback unit 301 uses the characteristics of the three-axis digital magnetoresistive sensor to detect the current magnetic field strength of the user's hand, converts the detected signal into an electrical signal and transmits it to the quantum computing processor 4, so that the system can understand the magnetic field conditions of the user's hand in real time. When the robot shakes hands with a person, the magnetic field strength feedback unit 301 collects the biomagnetic 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 abnormality and requests an optimization plan from the cloud through the wireless communication module 6. The cloud generates a current phase adjustment instruction for 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 to perform magnetic therapy on the user's hand. At the same time, the feedback unit 301 continuously monitors the magnetic field changes to form a closed-loop control.

[0053] In this embodiment, the perception module 3 also includes a handshake pressure feedback unit 302, which is used to monitor in real time the handshake pressure value 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 fingertips of the humanoid robot body 1. The handshake pressure feedback unit 302 uses the Tekscan FlexiForceA401 ultra-thin flexible piezoresistive sensor.

[0054] The resistance value of the ultra-thin flexible piezoresistive sensor of the handshake pressure feedback unit 302 changes when it is subjected to handshake pressure. The handshake pressure value is monitored in real time by detecting the change in resistance value, and the pressure value signal is transmitted to the quantum computing processor 4 so that the system can sense the handshake strength and ensure the user's comfort during the handshake.

[0055] In this embodiment, the perception module 3 also 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 user's current posture, facial expressions and gestures. The infrared imager 304 is used to collect the current user's body surface temperature. The binocular camera 303 is fixedly installed in the eye socket area of ​​the head of the humanoid robot body 1, and the infrared imager 304 is fixedly installed in the forehead of the humanoid robot body 1. The microphone array 305 is used to collect the user's audio data. The microphone array 305 is fixedly installed in the ear area on both sides of the head of the humanoid robot body 1.

[0056] Binocular camera 303 captures images and uses image processing techniques to analyze the user's current posture, facial expressions, and gestures. Infrared imager 304 uses infrared radiation to collect the user's body surface temperature. Microphone array 305 collects the user's audio data. The data collected by these devices is transmitted to quantum computing processor 4 for processing.

[0057] In this embodiment, an interactive module 8 is also included. The interactive 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, thereby realizing interaction with people.

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

[0060] Equation expression:

[0061]

[0062] in:

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

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

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

[0066] Bj target : expected magnetic field strength of the jth target area (mT);

[0067] B j real : Measured value of magnetic field intensity feedback unit (mT);

[0068] spatial weight function;

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

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

[0071] |I_k|: current amplitude of the kth coil (A);

[0072] γ=0.85:pressure attenuation coefficient;

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

[0074] Example application scenario:

[0075] When a user complains of wrist pain:

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

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

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

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

[0080] Assume Σ|I_k|=5A,α=0.3

[0081] Δφ_2^{new}=(2π / 6)+0.3*(1.2-0.8)0.89 / (50.85*0.7)≈1.047+0.036=1.083rad.

[0082] Technical effects:

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

[0084] Multimodal fusion: Simultaneously considers multi-dimensional parameters such as magnetic field deviation, mechanical pressure, and energy constraints;

[0085] Nonlinear mapping: An exponential weight function is introduced to achieve spatial attenuation effect, which is more consistent with the magnetic field propagation characteristics in biological tissues;

[0086] Safety protection: The pressure sensor parameter is used as the denominator, and the adjustment range is automatically reduced when the grip force is too large.

[0087] Working principle process:

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

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

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

[0091] 4. Calculate the phase correction amount based on 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: distance-dependent magnetic field compensation is achieved through w_ij;

[0097] Multi-physics 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 progressive optimization capabilities;

[0099] Anatomical adaptation: the target area division can match the distribution of acupuncture points on the human body;

[0100] Compared with the traditional fixed phase difference method, this equation reduces the magnetic field intensity distribution error by 42% (simulation data) and reduces energy consumption by 15%. It is particularly suitable for magnetic therapy robot systems that need to dynamically adapt to the anatomical structure and physiological status of different users.

[0101] In this embodiment, the cloud server 5 includes an intention analysis module 501, which integrates a large language model in the intention analysis module 501 in this embodiment, including but not limited to the AnthropicClaude3.7Max language model and the DeepSeek-V3 language model, a demand matching module 502, a reply generation module 503 and an action planning module 504. The intention analysis module 501 is used to parse the user voice instructions and gestures transmitted by the quantum computing processor 4, and transmit 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 based on the parsing results of the intention analysis module 501, and transmits the multimodal service strategy to the reply generation module 503. The reply 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 motion 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.

[0102] The intent analysis module 501 analyzes the user's voice commands and gestures for semantics and action implications. Based on the analysis results and information from the knowledge base, the demand matching module 502 generates a multimodal service strategy that meets the user's needs. The response generation module 503 generates corresponding voice, text, and video responses according to the multimodal service strategy. The action planning module 504 plans the robot's action instructions based on the multimodal service strategy, including joint motion trajectories and execution timing. Finally, the response content and action instructions are transmitted to the quantum computing processor 4 via the wireless communication module 6.

[0103] The cloud server 5 also includes a knowledge base module 505, which is used to provide a structured knowledge graph to the demand matching module 502 as a decision basis for the demand matching module 502 to make matching decisions.

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

[0105] For example, when using it, the user shakes hands with the robot and says, "My wrist has been hurting a lot recently. Can you help me take a look?" while pointing to his or her wrist with the other hand.

[0106] Microphone array 305 collects user speech, which is pre-processed by quantum computing processor 4 and then uploaded to cloud server 5. Intent analysis module 501 uses ASR technology to identify the keywords "wrist pain" and "help me take a look" and, combined with the medical knowledge graph in knowledge base module 505, determines that the user's intent is a request for health consultation and magnetic therapy.

[0107] At the same time, the binocular camera 303 captures the user's finger pointing to the wrist, and interprets it as the intention to locate the pain area through a posture recognition algorithm such as OpenPose.

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

[0109] Magnetic therapy program: For wrist acupuncture points (such as Yangchi and Waiguan), adjust the rotating magnetic field frequency of magnetization module 2 to 10Hz to promote blood circulation.

[0110] Interactive solution: Synchronously output wrist health knowledge text + video, and adjust the handshake strength to the user's comfort range.

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

[0112] Voice: "Your wrists may require increased circulation. I will provide you with targeted magnetic therapy, which may cause a slight warming sensation."

[0113] Text: Display screen 801 displays "Magnetic therapy mode: wrist acupoint stimulation".

[0114] Video: Play 3D animation through interactive module 8 to demonstrate the principle of magnetic field acting on acupuncture points, or dynamically display the 3D effect of magnetic field penetrating hand tissue.

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

[0116] When the magnetic field strength feedback unit 301 detects that the magnetic field strength 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 action 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 described in the present invention are the same as those in the prior art or can be implemented using the prior art. Although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may 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 by shaking hands, characterized in that: include: A humanoid robot body (1), wherein 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); a magnetization module (2), the magnetization module (2) being fixedly embedded in the palm of the humanoid robot body (1), and the magnetization module (2) being used to magnetize the biomagnetic field of the user's hand when shaking hands with the user; A perception module (3), the perception module (3) is used to collect multimodal data of the user; A quantum computing processor (4), the quantum computing processor (4) being electrically connected to the magnetization module (2) and the execution module (7), respectively, and the quantum computing processor (4) being used to pre-process local data and upload the processed data to a cloud server (5) via a wireless communication module (6); The cloud server (5) analyzes the user's intention and needs based on 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); 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); 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 between two adjacent electromagnetic coils (201) is d=λ / 2, and the current phase difference between two adjacent electromagnetic coils (201) is , to generate a rotating magnetic field, N is the total number of the electromagnetic coils (201); The sensing module (3) includes a magnetic field strength feedback unit (301), the magnetic field strength feedback unit (301) is used to monitor the current magnetic field strength of the user's hand, the magnetic field strength feedback unit (301) is fixedly installed on the palm of the humanoid robot body (1), the magnetic field strength feedback unit (301) is electrically connected to the quantum computing processor (4), and the magnetic field strength feedback unit (301) adopts a Honeywell HMC5883L three-axis digital magnetoresistive sensor.

2. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 1, characterized in that: The perception module (3) further includes a handshake pressure feedback unit (302), which is used to monitor in real time the handshake pressure value of the humanoid robot body (1) when shaking hands with the user, and 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 fingertips of the humanoid robot body (1), and the handshake pressure feedback unit (302) adopts a Tekscan FlexiForce A401 ultra-thin flexible piezoresistive sensor.

3. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 2, characterized in that: The perception module (3) further comprises 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 user's current posture, facial expression and gesture; the infrared imager (304) is used to collect the current user's body surface temperature; the binocular camera (303) is fixedly mounted on the eye socket area of ​​the head of the humanoid robot body (1); the infrared imager (304) is fixedly mounted on the forehead of the humanoid robot body (1); the microphone array (305) is used to collect the user's audio data; and the microphone array (305) is fixedly mounted on the ear areas on both sides of the head of the humanoid robot body (1).

4. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 3, characterized in that: The invention also includes an interactive module (8), wherein the interactive module (8) includes a display screen (801) and a speaker (802), wherein 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), and the quantum computing processor (4) is electrically connected to the display screen (801) and the speaker (802).

5. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 4, characterized in that: The cloud server (5) includes an intention analysis module (501), a demand matching module (502), a reply generation module (503) and an action planning module (504), wherein the intention analysis module (501) is used to parse the user voice instructions and gestures transmitted by the quantum computing processor (4), and transmit 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 based on the parsing results of the intention analysis module (501), and transmits the multimodal service strategy to the reply generation module (503), the reply 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 based on the multimodal service strategy, the robot action instruction includes a joint motion trajectory and an execution sequence, and the multimodal response content and the robot action instruction are transmitted to the quantum computing processor (4) via the wireless communication module (6).

6. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 5, characterized in that: The cloud server (5) further includes a knowledge base module (505), and the knowledge base module (505) is used to provide a structured knowledge graph to the demand matching module (502) as a decision basis for matching by the demand matching module (502).

7. The humanoid quantum robot that magnetizes the human body's magnetic field by shaking hands according to claim 6, 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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