Abstract: A laundry treatment appliance includes a cabinet defining a receiving space, a tub provided within the receiving space, a user interface provided on the cabinet, the user interface including one or more indicators, and a controller operably coupled to the user interface, the controller comprising a wireless communication module, the controller being configured to direct a notification operation. The notification operation includes exchanging a communication signal with a remote server, establishing a wireless remote connection between the laundry treatment appliance and a remote terminal in response to exchanging the communication signal with the remote server, and outputting a unique identifier via the user interface to observably distinguish the laundry treatment appliance in response to establishing the wireless remote connection.

Abstract: A washing machine includes: an outer tub, an inner tub, a drain pump driven by an electric current to thereby drain water from the outer tub, a motor providing a rotational force to the inner tub, and a control unit controlling the drain pump and the motor. The control unit rotates the motor to increase a rotation speed of the inner tub to a preset first target speed during a sub spin-drying cycle to remove moisture from laundry in the inner tub, measure the current of the drain pump to measure an amount of water dehydrated from the laundry, measure, based on the current being increased and then decreased to or below a preset reference current, the rotation speed of the inner tub, and change a preset rotation time of the inner tub in a main spin-drying cycle according to the measured rotation speed of the inner tub.

Abstract: An operation control method and system for a clothing treatment device having a drum and a motor is provided. Load inertia of the drum and a fluctuation parameter of the motor are obtained. Load eccentric mass of the clothing treatment device is obtained based on the load inertia, the fluctuation parameter, and predetermined relationship data that is obtained based on pre-stored load inertia, torque fluctuation and load eccentric mass. The fluctuation parameter can be a torque fluctuation parameter or a rotation speed fluctuation parameter. The clothing treatment device can be controlled according to the load eccentric mass to optimize washing operations. For example, clothing and/or inlet water amount can be timely adjusted according to the calculated load eccentric mass. Thus, the clothing treatment device is prevented from producing significant noise during operations, and the service life of the clothing treatment device can be prolonged.

Abstract: A washing machine has a rotatable drum in a drum-receiving container with an outlet, a pump with integrated heating device, an injector on the drum-receiving container, a water circuit with several water pipes, wherein at least one water pipe runs from the outlet from the drum-receiving container to the pump, and at least one water pipe runs from the pump to the injector, and a water reservoir between the outlet and pump which is connected to the water pipe from the outlet to the pump. An outlet valve is provided in the water pipe from the outlet from the drum-receiving container to the pump. A pump valve is also provided which is connected to a water pipe with a pump outlet and has an output to a water outlet from the washing machine.

Abstract: A method of operating a washing machine appliance includes obtaining, by a remote user interface device, an image of a wash basket of the washing machine appliance and a load of articles therein. The method also includes determining, based on the image, a load size of the load of articles in the wash basket. The method further includes comparing the determined load size to a maximum load size threshold.

Abstract: A method of operating a laundry treating appliance having a tub, a rotatable drum at least partially defining a treating chamber, and a treating chemistry dispenser comprising multiple treating chemistry cups configured to dispense treating chemistry to the treating chamber. The method comprises performing a first wash cycle and dispensing a first dose of treating chemistry from one of the treating chemistry cups, receiving at a controller a user selection of an activation of a performance enhancement selector, and upon activation of the performance enhancement selector, activating a second wash cycle comprising dispensing a second dose of treating chemistry from another of treating chemistry cups.

Abstract: A washing machine appliance may include a cabinet, a tub, a wash basket, and a controller. The tub may be positioned within the cabinet. The tub may define a tub outlet and a tub inlet. The wash basket may be rotatably mounted within the tub. The wash basket may define a chamber for receipt of articles for washing. The controller may be mounted to the cabinet and configured to initiate a washing operation. The washing operation may include flowing a volume of liquid to the tub, initiating a spin phase requiring rotation of the wash basket following flowing the volume of liquid to the tub, determining an out-of-balance (OOB) state within the wash basket, determining a user OOB preference following determining the OOB state, and adjusting the spin phase according to the determined user OOB preference.

Abstract: A washing machine appliance and methods of operating a washing machine appliance are provided. The washing machine appliance includes a motor and a rotatable basket. The motor is operated to rotate the basket to a first speed. The basket is then decelerated from the first speed to a second speed less than the first speed. A deceleration time is determined while decelerating the basket from the first speed to the second speed. The method may include, or the washing machine appliance may be configured for, determining a size of a load of articles in the basket of the washing machine appliance based on the deceleration time. Based on the determined size of the load, one or more operating parameters of the washing machine appliance are selected and an operation of the washing machine appliance is performed according to the one or more selected operating parameters.

Abstract: A washing machine appliance includes a camera assembly mounted in view of a wash chamber for obtaining images of the wash chamber. The lens of the camera assembly is positioned adjacent a water outlet of a water dispenser and a controller is configured to facilitate an automated cleaning method for the camera assembly, the method including obtaining one or more images of the wash chamber using the camera assembly, analyzing the one or more images to determine an image quality, determining that the image quality has dropped below a quality threshold, and operating the water dispenser to perform a lens cleaning operation in response to determining that the image quality has dropped below the quality threshold.

Abstract: A method for controlling a laundry washing machine. The method includes: performing a tub loading process comprising operating supply valve(s) to provide a first volume of water through a detergent supply system and into a tub to fill the tub with wash liquid; performing a washing process comprising rotating a drum to agitate laundry in in the presence of the wash liquid; performing a static rinsing process comprising operating a pump to remove a free volume of wash liquid from the tub without rotating the drum; and performing one or more rinsing processes comprising: operating the supply valve(s) to provide a volume of clean rinse water to the tub, operating the pump to remove the rinse water from the drum, and operating the motor to spin the drum at high speed to extract rinse water from the laundry, while continuing to operate the pump.

Abstract: A laundry appliance includes a basket that is rotatably mounted within a cabinet and that defines a chamber for receiving a load of clothes. A camera assembly is mounted within the cabinet for taking images of the chamber and a controller obtains an image of the chamber when the basket is empty and not rotating. The image is analyzed using an autoencoder neural network process to determine an image quality and a responsive action is implemented when an image quality drops below a quality threshold.

Abstract: A method for detecting entrapment of an article within a laundry washing machine. The method includes rotating the drum to a target rotation speed, determining a respective drum motor torque value for each rotation, determining a distribution characteristic value of the drum motor torque values, comparing the distribution characteristic value to a predetermined threshold value, performing a correction operation to address an entrapment condition upon determining that the distribution characteristic value is above the predetermined threshold value, and proceeding with the laundry washing cycle upon determining that the distribution characteristic value is below the predetermined threshold value.

Abstract: An apparatus includes a closed drying air circuit and a drum in communication with the closed drying air circuit. A condenser is in communication with the closed drying air circuit. The condenser includes a cooled water inlet that directs cooled water into the heated air to remove moisture from the heated air. The condenser includes a condenser water outlet for egress of water from the condenser. The cooled water inlet of the condenser is configured to receive water from a tap water source. A thermoelectric apparatus having a cold side flow device arranged between the cooled water inlet of the condenser and the tap water source is included. The cold side flow device is configured to receive tap water from the tap water source and cool the tap water below a tap outlet temperature using the thermoelectric device before the tap water enters the cooled water inlet of the condenser.

Abstract: A washing machine appliance, a controller, and a method for operating a washing machine appliance are provided. The appliance includes a controller operably coupled to a motor assembly that is operably coupled to a wash basket, and a drain pump assembly. The controller is configured to rotate the wash basket to at least a desired speed; determine one or more of whether at least the desired speed of the wash basket is achieved within a period of time, or whether an energy parameter threshold of a motor assembly is exceeded when rotating the wash basket within the period of time; and generate an output signal corresponding to fluid detection at a wash tub when the wash basket fails to rotate to at least the desired speed within the period of time or, when the energy parameter threshold is exceeded when rotating the wash basket within the period of time.

Abstract: A washing machine includes a cabinet including an entrance which is formed in a front surface of the cabinet such that laundry is input into or output from the entrance, a tub mounted inside the cabinet, a drum received in the tub and rotatably provided, a motor to provide driving force to rotate the drum, and a vibration sensor to sense vibration of the tub.

Abstract: The present disclosure discloses a clothing information processing method, comprises: the server receives the clothing information sent by a washing device and saves it; the server receives request information sent by an intelligent terminal; the server obtains the corresponding clothing information according to the request information and sends it to the intelligent terminal. In this disclosure, the server receives the clothing information sent by the washing device and stores the clothing information. In this way, in the whole washing cycle, even after this washing cycle, the user can obtain the clothing information from the server through the intelligent terminal, which avoids that in the prior art, after the stage of uploading clothing information by the washing device is completed, the intelligent terminal can no longer obtain clothing information.

Abstract: A method performed by one or more devices includes determining an information item indicative of at least one parameter affecting the treatment of a textile with the information item being detected by an information carrier of the textile (220) and/or a cleaning device (230), or a cleaning agent (210) and the textile (220), or the cleaning agent (210) and the cleaning device, or the cleaning agent (210) and the textile (220) and the cleaning device and the information carrier comprises a package, a label, an NFC chip or a combination thereof, determining at least one treatment parameter of the textile based at least in part on the determined information item, and outputting or triggering the outputting of the at least one determined treatment parameter.

Abstract: Disclosed herein are a laundry apparatus and a control method thereof. According to an embodiment, the method of controlling a laundry apparatus including a tub, a drum, an induction heating module mounted on the tub to heat the drum, and a circulation pump configured to pump wash water from the tub to the drum includes supplying wash water into the tub through a water supply valve, circulating the wash water by operating the circulation pump and performing fabrics soaking by driving the drum after termination of the water supply, performing heating by driving the induction heating module after termination of the fabrics soaking, and performing washing by driving the drum after termination of the heating, wherein the heating is performed while a water level of the wash water is lower than a lowest end of the drum, the heating including heating the drum, the wash water, and fabrics.

Abstract: Washing appliance and a determination method for locking of a drum thereof. The washing appliance includes a drum for containing washing water, a drum motor for driving the drum to rotate and a locking structure for locking the drum. The drum motor drives the drum to rotate at a set power output, the locking structure generates a locking action for locking the drum, and until an output current of the drum motor is larger than a rated current, it is determined that the drum is locked by the locking structure; by comparing the output current of the drum motor with the rated current, until the output current of the drum motor is larger than the rated current. Whether the drum is locked by the locking structure or not can be accurately determined through the above determination, and therefore the drum locking accuracy can be improved.

Abstract: A motor driving apparatus includes: an inverter that includes at least one switching element and that is configured to output alternating current power to a motor, a vibration sensor configured to detect vibrations, and a controller (i) comprising a compensation signal generator that is configured to, based on an output value of the vibration sensor, generate a compensation signal and (ii) configured to generate a control signal for controlling the inverter.

Abstract: The present disclosure relates to a laundry treatment machine. The laundry treatment machine according to an embodiment of the present disclosure includes a controller configured to increase or decrease stepwise a speed of a motor during dewatering. Accordingly, it is possible to reduce a speed ripple during dewatering.

Abstract: A control method of washing machine includes: a first detection step of acquiring amount of laundry accommodated in a washing tub; a first washing step of performing washing based on a first laundry amount, when the first laundry amount acquired in the first detection step is equal to or larger than a preset first threshold value; a second detection step of, acquiring the laundry amount accommodated in the washing tub by an output of an output layer of an artificial neural network while using a current value inputted to a motor for rotating and acceleration of the washing tub as an input data of an input layer of the artificial neural network previously learned by machine learning; and a second washing step of performing washing based on a second laundry amount, when the second laundry amount acquired in the second detection step is smaller than the first threshold value.

Abstract: Provided are a washing apparatus that is capable of being operated in an Internet of Things (IoT) environment over a 5G communication network and estimating additional laundry that is introduced and the amount of detergent that is additionally introduced based thereon through a neural network model generated based on machine learning, and a method of controlling the same.

Abstract: In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.

Abstract: A torque-speed curve or data of load that is used as a standard to determine an external condition in which an electric vehicle is operating such as incline or no incline, head wind or no headwind, high temperature or low temperature. The system compares samples of actual torque-speed of load data to the standard. Based on the comparison, the system determines the external condition (going up a hill, traveling into a headwind, operating at high temperature) or an abnormal operation of the vehicle powertrain, for example, low tire pressure, elevated friction, wheels out of alignment. Based on the determination, the system takes an action to govern a maximum torque output of the motor to control temperature of the vehicle battery; to raise a wind deflector; to govern maximum speed of the vehicle to reduce danger resulting from low tire pressure, elevated powertrain friction or out of alignment wheels; or to initiate an indication of abnormal conditions.

Abstract: The present disclosure relates to a laundry treatment machine and a method for controlling the same. An increased amount of wash water during dewatering is introduced into a pump by decreasing the speed of a pump motor provided in the pump and increasing it again based on changes in the speed of the main motor during dewatering, and the wash water introduced while the speed of the pump motor is increasing is drained. Thus, the amount of noise generated during drainage may be reduced, drainage performance may be improved, and drainage time may be shortened.

Abstract: A washing machine appliance includes a wash basket that is rotatably mounted within a wash tub and that defines a wash chamber for receiving a load of clothes. A camera assembly is mounted within the wash tub for taking images of the load of clothes during and/or after a wash or rinse cycle. A controller is operably coupled to the camera for obtaining and analyzing the images using a neural network image recognition process (such as an R-CNN process) to determine a whether the level of suds or bubbles exceeds a suds threshold. If there are too many suds in the wash tub, the controller may implement corrective action, e.g., by decreasing a water temperature, adding more water, or reducing the amount of detergent that is auto-dispensed in a subsequent wash cycle.

Abstract: The present disclosure relates to a laundry treatment machine. According to an embodiment of the present disclosure, a laundry treatment machine includes a controller controlling a motor, during dewatering, to be driven at a first speed when a lift is at a first level and to drive the motor at a second speed greater than the first speed when the lift is at a second level greater than the first level, wherein the lift is a difference between a water level of a water introduction part through which water flows into a drain pump and a water level of a water discharge part through which the water is discharged out of the drain pump. Accordingly, noise or vibration can be reduced even if the lift is changed during the dewatering.

Abstract: Disclosed is an artificial intelligence (AI)-based laundry treatment apparatus comprising: a washing module; a camera to acquire an image of laundry; a memory for storing therein a laundry recognition model, wherein the model is trained using a machine learning or deep learning algorithm, wherein the model is configured to recognize laundry information about the laundry; and a processor configured to apply image data from the acquired image to the laundry recognition model to acquire the laundry information.

Abstract: A washing machine includes a water storage tank, a vibration sensor provided to the water storage tank, a washing tub rotatably disposed in the water storage tank and configured to accommodate laundry therein, a motor configured to rotate the washing tub, and a controller. The controller is configured to: measure an unbalance (UB) value based on rotating the washing tub during a dewatering stroke; control the motor to stop rotating the washing tub based on the UB value exceeding an allowable UB value included in a preset UB table; measure a dewatering time of the laundry and a vibration value during the dewatering stroke using the vibration sensor; and change the allowable UB value included in the preset UB table based on the dewatering time and the vibration value.

Abstract: A method of operating a pair of laundry appliances is provided. The pair of laundry appliances includes a washing machine appliance and a dryer appliance. The method includes determining a first moisture extraction curve of a spin cycle of the washing machine appliance and determining a second moisture extraction curve of the dryer appliance. The method further includes rotating a basket of the washing machine appliance at an extraction speed for a predetermined period of time. The predetermined period of time is based on the first moisture extraction curve and the second moisture extraction curve.

Abstract: A home appliance and a control method for the home appliance, which is operable in an IoT environment through a 5G communication network and uses a neural network model generated according to machine learning is provided. The home appliance may include a home appliance main body; a container mounted within the home appliance main body to accommodate a treatment target; a camera arranged to photograph the inside of the container; and one or more processors configured to control an operation of the home appliance, wherein the processor is configured to determine an amount of a treatment target based on feature shapes of the container identified in an image of the inside of the container photographed by the camera.

Abstract: A sensor device is provided. The sensor device includes an energy harvester configured to generate electric energy, a monitoring circuit, a sensor, a communication circuit, and at least one processor configured to obtain information indicating a magnitude of the generated electric energy via the monitoring circuit, obtain a sensing value via the sensor, and transmit the sensing value and the information indicating the magnitude of the generated electric energy via the communication circuit to the other electronic device.

Abstract: Disclosed is an artificial intelligence laundry treatment apparatus including a washing tub configured to receive laundry, the washing tub being configured to be rotatable, a motor configured to rotate the washing tub, a controller configured to control the motor such that the washing tub is accelerated to a predetermined target speed at an acceleration gradient of 1.5 to 2.5 rpm/s within a range within which the laundry moves in the washing tub, and a current sensing unit configured to sense current of the motor, wherein the controller is configured to obtain at least one of laundry weight or laundry quality from output of an output layer of an artificial neural network pre-trained based on machine learning using a current value sensed by the current sensing unit during accelerated rotation of the washing tub as input of an input layer of the artificial neural network.

Abstract: Disclosed herein is an apparatus that includes a plurality of memory sections each including a plurality of word lines, a predecoder circuit configured to generate predecoded section address signals to select one of the plurality of memory sections and predecoded word line address signals to select one of the word lines included in a selected one of the plurality of memory sections based on a row address, and a section address control circuit configured to retain the predecoded section address signals regardless of an update of the row address in a test operation mode.

Abstract: Disclosed herein is an artificial intelligence-based laundry treating apparatus. The artificial intelligence-based laundry treating apparatus according to an embodiment of the present invention receives big data about information of an external environment capable of affecting laundry and life log data including activity information of a user wearing the laundry and automatically sets an optimal laundry management course for the laundry based on input factors including the big data and the life log data. Further, the artificial intelligence-based laundry treating apparatus may operate based on the optimal laundry management course to clean the laundry. A washing machine of the present invention may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Abstract: A method of operating and a laundry treating appliance, including a rotatable drum at least partially defining a treating chamber into which laundry may be placed for treatment according to a cycle of operation, a processor programmed to at least as the laundry is being placed in the treating chamber, at least one of measure, sense, analytically determine, estimate, or receive as an input used to determined a load size. A laundry fill indicator indicates information related to the determined load size.

Abstract: An electronic device according to various embodiments of the present invention may include an antenna module configured to sense an electromagnetic (EM) signal generated from an external electronic device, a communication module, a processor operatively connected to the antenna module and the communication module, and a memory storing instructions which, are configured to, when executed, cause the processor to identify the external electronic device based on at least part of the EM signal sensed from the external electronic device via the antenna module, identify whether the identified external electronic device is registered in a designated control application, and provide information related to the external electronic device based on whether the external electronic device is registered. In addition, other various embodiments of the present invention may be possible.

Abstract: A method for setting a time of a release of a cleaning agent during a cleaning cycle in a household appliance includes obtaining an evolution over time of a local parameter inside the appliance, the local parameter comprising an acceleration induced by the cycle or a temperature inside the appliance; obtaining reference patterns of evolutions of the local parameter during a cycle comprising different cleaning steps including a step adapted for releasing the cleaning agent at a predetermined adapted time; comparing the evolution of the local parameter to the reference patterns and identifying a cleaning step within the cycle when a similarity between a reference pattern and the evolution is above a predetermined threshold, and setting the release of the agent at the predetermined adapted time within the identified cleaning step when the identified step corresponds to a step adapted for releasing the agent.

Abstract: A clothing treatment apparatus includes a plurality of inverters for controlling the motors of a drum, a compressor, and a blowing fan, a converter for converting input power input from an external source and outputting the converted power to the inverters, and a control unit for controlling the plurality of inverters and the converter.

Abstract: A washing machine includes: a cabinet having a first opening and a washing space formed therein; and a door assembly provided to open and close the first opening, wherein the door assembly includes: a door body having a second opening and corresponding to the first opening and provided to rotate relative to the cabinet; door glass having a glass hole communicating with the inside of the cabinet and coupled with the rear surface of the door body; a guide duct that connects the second opening and the glass hole; and a sealing member. The sealing member can prevent washing water or internal air from escaping from the door assembly.

Abstract: Disclosed are a washing apparatus and a control method thereof using an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of things (IoT). A washing apparatus including a container in which laundry is accommodated includes a controller, a motor electrically connected to the controller and configured to rotate the container, a weight sensor electrically connected to the controller and configured to measure a weight of the laundry accommodated in the container, and a current sensor electrically connected to the controller and configured to measure a current value applied to the motor.

Abstract: Disclosed is an artificial intelligence laundry treatment apparatus including a washing tub configured to receive laundry, the washing tub being configured to be rotatable, a motor configured to rotate the washing tub, a controller configured to control the motor such that the washing tub is rotated while being accelerated, and a current sensing unit configured to sense current of the motor at predetermined time intervals, wherein the controller is configured to input, to an input layer of an artificial neural network pre-trained based on machine learning, input data generated by processing current values sensed by the current sensing unit while the motor is accelerated within a range within which the laundry moves in the washing tub according to a predetermined parsing rule in order to obtain at least one of laundry weight or laundry quality from output of an output layer of the artificial neural network.

Abstract: A washing machine appliance as provided herein, may include a cabinet, a tub, a fluid additive dispenser, and a controller. The tub may be disposed within the cabinet. The fluid additive dispenser may include a housing, a dispenser drawer, a water supply conduit, a conduit water valve, and an optical sensor. The optical sensor may be mounted to a housing and directed at a pod compartment. The controller may be operably coupled to the fluid additive dispenser and may be configured to initiate a washing operation. The washing operation may include receiving an image signal from the optical sensor, determining a pod characteristic within the pod compartment based on the received image signal, and directing water to the pod compartment based on the determined pod characteristic.

Abstract: A laundry treating apparatus includes a control device that performs a control method to control operation of the laundry treating apparatus. The control device performs test driving of a motor part for driving a washing part, determines control pattern on the basis of a result of the test driving, and controls the motor part in accordance with the control pattern.

Abstract: A motor control device includes a driving circuit, a generator configured to generate a pulse-width modulation (PWM) signal, a resistor, an amplifier, a detector configured to detect a driving current flowing through a winding based on the signals output from the amplifier, a phase determiner configured to determine a rotational phase using the driving current detected by the detector and a control value set in advance, a controller configured to control the driving current based on a torque current component so that a deviation between the rotational phase and an instruction phase becomes small, and a setting unit configured to set the control value based on both a local maximum value and a local minimum value of the driving current flowing through the winding by a voltage applied to the winding based on the PWM signal of which a duty cycle is set to a predetermined value.

Abstract: In a method for operating a dishwasher, in particular a domestic dishwasher, items to be washed arranged in an interior of the dishwasher are washed during a wash program. A quantity of a specific gas in the interior is determined during the wash program, and a hygiene program is started and/or a notification is outputted to a user of the dishwasher relating to a start of the hygiene program as a function of the determined quantity of the specific gas.

Abstract: A method of detecting a mechanical decoupling in a laundry appliance is provided. The laundry appliance includes a rotatable basket and a motor configured to drive the rotatable basket. The method includes determining a target rotational speed and activating the motor at a first rotational speed proportional to the determined target rotational speed. The method further includes determining an actual rotational speed after activating the motor at the first rotational speed and comparing the actual rotational speed to the target rotational speed. When the actual rotational speed is greater than the target rotational speed, the method determines that the motor is decoupled from the basket.

Abstract: Present application discloses control method of controlling operation mode of washing machine by communication with washing machine. Control method includes obtaining vibration information indicative of vibration of washing tub of washing machine operating in predetermined first operation mode as operation mode; extracting predetermined feature amount having correlation with strength of floor on which washing machine is placed from vibration information; estimating strength of floor from extracted feature amount; determining whether or not operation mode needs to be changed from first operation mode based on estimated strength; and when determination is made that operation mode needs to be changed from first operation mode, outputting, to washing machine, instruction to change operation mode from first operation mode to second operation mode different from first operation mode.

Abstract: A laundry treating apparatus includes: a tub; a drum; an agitator disposed in the drum; a stator; a rotor configured to rotate relative to the stator; a drum-rotating shaft coupled to the drum; an agitator-rotating shaft coupled to the rotor and the agitator; a first serration disposed at an end of the agitator-rotating shaft; a second serration disposed at an end of the drum-rotating shaft; a fixed body fixed between the tub and the rotor; a support body rotatably disposed within the fixed body; a body-driving system configured to move the support body relative to the fixed body; and a shaft-joint configured to reciprocate between a first point and a second point of the support body. The shaft-joint is configured to engage the first serration to the second serration at the first point, and decouple the first serration from the second serration at the second point.