92 results about "Mobile robot system" patented technology

The invention discloses a self-balancing type light steering wheel for complex terrains. The self-balancing type light steering wheel comprises a wheel carrier, a steering assembly, a driving assembly and a suspension system. The steering assembly drives tires to steer through a motor via a three-stage gear pair. The driving assembly drives tires through a motor and a speed reducer; the suspension system is connected between the driving mounting plate and the wheel carrier and comprises a parallel connecting rod mechanism and symmetrically arranged spring suspension units, self-adaptive buffering is achieved through a compression spring and a fisheye knuckle bearing, and it is ensured that the tire continuously touches the ground on a rugged road surface; the driving speed reducer is integrated in the tire, the driving motor is arranged between the wheel carrier and the tire, and the whole steering assembly does not exceed the turning radius of the tire. The device is compact in structure, has good terrain adaptability and motion stability, and is suitable for an outdoor mobile robot system.

A mobile robot system is described in having a mobile robot and cloud system. The mobile robot leverages cloud computing to offload Neural Radiance Fields (NeRF) based 3D scene reconstruction. The mobile robot advantageously adopts techniques for view filtering and next-best view selection that optimize the image collection process necessary for training an NeRF model with the cloud system. These techniques enable the mobile robot to discard redundant images that do not provide significant new information about the environment. Additionally, these techniques enable the mobile robot to strategically select next-best views that maximize the information gain, while minimizing a total number of images required and the time required to capture the images. These techniques provide a significant reduction in the overall bandwidth required for providing image data to the cloud system and can result in a more accurate and higher quality 3D reconstruction of the environment.

One variation of a method includes: accessing a sequence of images of an inventory structure captured by a mobile robotic system during a scan cycle within a facility; detecting a set of features, representing a product descriptor, proximal a slot in an image in the sequence of images; retrieving a set of template features of a product type associated with the product descriptor from a database of template features; detecting absence of product units of the product type in the slot based on absence of features analogous to the set of template features in the image; constructing a three-dimensional image of the inventory structure based on the sequence of images; annotating the three-dimensional image with a marker representing absence of product units of the product type in the slot; and serving the three-dimensional image of the inventory structure to a portal accessed by an associate affiliated with the facility.

A mobile robot system for automated operation of a data center or telecommunications office, includes a moveable robotic platform with a multiplicity of tools integrated therein to operate on a network element within a bay, with integrated RFID (radio-frequency identification) tags and visual alignment markers attached to fiber optic connectors and ports of the network elements. The mobile robot system positions a robot probe arm with an RFID probe for proximity detection to identify a cable and associated fiber optic connector based on a unique RF identifier of a tag on the fiber optic connector. The robot probe arm has a connector gripper to engage and unplug the associated fiber optic connector.

A mobile robot and a system therefor are disclosed. A mobile robot, according to the present invention, comprises: a communication module connected to communicate with a server to transmit data; a processor generating first data including a starting coordinate, a target coordinate, and a moving speed of the mobile robot in response to a moving command in accordance with an allocated task; and a driving unit operating the mobile robot to drive toward the target coordinate. In this case, the processor transmits the first data to the server only once at the starting coordinate so that the server restores the first data in time series. In addition, when the mobile robot reaches the target coordinates according to the operation of the driving unit, second data including the current coordinate of the mobile robot is transmitted to the server. Accordingly, the communication load on the server is minimized.

A mobile robot system includes a thermal protection system comprising an anti-radiation surface coating applied to an exterior of the mobile robot system, and a passive thermal protection system (FTPS) disposed within an inner structure of a frame of the mobile robot system. The mobile robot system also includes an electronics thermal protection system (ETPS) disposed within the FTPS, and a temperature-hardened sensor housing comprising at least one sensor disposed externally on the frame. The mobile robot system additionally includes a control interface configured to control a mobile operation of the mobile robot system.

Embodiments of the present application provide an object information determination method, a mobile robot system and an electronic device, and are applied to the technical field of robots. The method comprises: acquiring a plurality of images containing a target object collected by a mobile robot in a process of performing a surrounding motion on the target object; for each acquired image, identifying a relative distance between the mobile robot and the target object when the image is collected; and determining contour information of the target object based on the relative distance between the mobile robot and the target object when each image is collected and position information of the mobile robot in a world coordinate system. Through the present solution, the contour information of an object in an environment can be determined.

This invention discloses a fault-tolerant control method for coupled actuator failures in mobile robots, belonging to the field of nonholonomic mobile robot control technology. It includes: establishing an actuator coupling failure model for nonholonomic mobile robots that better reflects actual production conditions; cleverly solving the controllability problem caused by actuator coupling failures in nonholonomic robots by introducing the Proj function to handle unknown actuator failure coefficients; and designing a filter system suitable for nonholonomic mobile robot systems when speed is unmeasurable, avoiding the use of high-precision sensors. This invention improves the robustness of the mobile robot system while reducing its hardware costs.

An embodiment of the present invention provides a robot vacuum cleaner system characterized by comprising: one or more heterogeneous docking stations which can be arranged within a travel area and are assigned different docking signals according to the type; and a robot cleaner that receives the docking signals from the one or more heterogeneous docking stations and attempts docking, wherein the robot cleaner includes: a driving unit that moves a main body; a battery supplying power to the driving unit; and a sensor unit that receives the docking signal from the one or more docking stations for charging the battery, and when docking is necessary, the robot cleaner docks onto a docking station by determining the type of the docking station from the docking signals sensed by the sensor unit and determining a docking mode according to the type of the docking station. Therefore, when the heterogeneous docking stations are arranged in a single space, the robot cleaner can recognize a specific docking station and perform a docking operation for docking thereon to prevent a docking error. In addition, when the plurality of heterogeneous docking stations are arranged in a single space, the plurality of heterogeneous docking stations transmit different docking signals, and the robot charger can read the corresponding docking signals and travel to a specific docking station to reduce travel loss.

Systems and methods for generating a secure area for a mobile robot are described. The system and method may include receiving information about a cargo car or roof device to be used on a mobile robot, such as a size and number of posts of the cargo car. The system and method may also include generating a safe area based on the type of mobile robot and information about the cargo car or roof device. The system and method may also include operating the mobile robot based on the secure area such that a controlled stop of the mobile robot is triggered when an object is detected within the secure area.

This invention provides a fully autonomous embodied intelligent mobile robot system architecture, including a structural and mobility subsystem, a perception subsystem, a power supply subsystem, a thermal control subsystem, an intelligent computing subsystem, and a wireless communication subsystem. The power supply subsystem provides power; the structural and mobility subsystem controls the movement of the embodied intelligent mobile robot and obtains motion data; the perception subsystem senses and measures the environment and the state of the embodied intelligent robot, obtaining measurement data; the thermal control subsystem acquires temperature information for insulation and heat dissipation; the wireless communication subsystem enables communication between the embodied intelligent robot and other intelligent agents, acquiring relevant data from other intelligent agents; and the intelligent computing subsystem processes the acquired motion data, measurement data, temperature information, and related data to determine the task to be executed. Based on this system architecture, the embodied intelligent mobile robot can achieve autonomous navigation and task planning in complex and unknown environments where GNSS is denied.

The invention relates to an anti-theft method, and the method comprises the steps: controlling a self-moving robot to execute an anti-theft action if the real-time position of the self-moving robot is located outside an anti-theft region, and the anti-theft action at least comprises the alarm sending and authentication interface display. Therefore, the self-moving robot is prevented from being stolen, the anti-theft function is comprehensive, and the user experience feeling is better.

The application relates to a loop detection method based on a point cloud semantic graph descriptor and position information, comprising the following steps: acquiring laser point cloud data and satellite positioning data of a current frame, performing semantic segmentation processing on the laser point cloud data, converting into a preset point cloud semantic graph descriptor form, screening a loop candidate frame from historical frame data through distance matching and node matching; converting the current frame and the loop candidate frame into a circular ring graph form, and attempting to obtain a target loop frame through similarity verification and geometric consistency verification. Compared with the prior art, the application solves the problems of difficult loop detection, large loop matching calculation amount and low loop matching accuracy in a mobile robot SLAM system, and improves the positioning accuracy and system robustness of the mobile robot.

Systems and methods are described for detecting changes at a location based on image data by a mobile robot. A system can instruct navigation of the mobile robot to a location. For example, the system can instruct navigation to the location as part of an inspection mission. The system can obtain input identifying a change detection. Based on the change detection and obtained image data associated with the location, the system can perform the change detection and detect a change associated with the location. For example, the system can perform the change detection based on one or more regions of interest of the obtained image data. Based on the detected change and a reference model, the system can determine presence of an anomaly condition in the obtained image data.

One variation of a system includes: a population of trays storing product units; a dispensing unit configured to dispense product units from the population of trays; a mobile robotic system; and a controller. The mobile robotic system includes: a receptacle configured to support a base and a first sidewall of a semi-rigid container transiently loaded in the receptacle at an angle; and a sidewall retainer configured to retain a second sidewall of the semi-rigid container. The controller is configured to: trigger the mobile robotic system to navigate to a dispensing unit loaded with a tray transiently storing product units of a product type specified in an order; trigger the mobile robotic system to maneuver the receptacle to locate the semi-rigid container to receive the product unit at a target position; and trigger the dispensing unit to dispense the product unit into the semi-rigid container.

The invention provides a preset-time adaptive fuzzy control method for an incomplete wheeled mobile robot system, and the method guarantees that a tracking error is converged to a preset set within preset time through the design of a performance function, a time-varying gain function and an auxiliary system, meets the steady-state and transient-state performance indexes of the system, and does not violate preset constraints. When the actuator is saturated, the established auxiliary system can generate a compensation signal in real time, so that the input signal is prevented from being too large to maintain the stability of the system; besides, fuzzy logic is utilized to approach model uncertainty of the incomplete wheeled mobile robot system, a nonlinear interference observer is designed to estimate composite time-varying interference, and robustness and anti-interference performance of the system are improved. In addition, the fault of the time-varying actuator of the incomplete wheeled mobile robot system is processed by adopting fuzzy logic and self-adaptive control, so that the system has better fault-tolerant capability.

Systems and methods for determining map transformations between mobile robots are described. In some examples, a follower robot tracks a target robot through a series of destinations. The follower robot's position and trajectory information can be recorded while it tracks the target robot through these destinations. Upon completion, the compiled position and trajectory data can be analyzed and transformed into a common reference frame that relates a map of the target robot to a map of the follower robot.

One variation of a method for deploying a mobile robotic system to scan inventory structures within a store includes: dispatching the mobile robotic system to navigate along inventory structures within the store during a setup cycle; at the mobile robotic system, while navigating along the inventory structures during the setup cycle, capturing a set of wireless connectivity metrics representing connectivity to a first wireless network; assembling the set of wireless connectivity metrics into a wireless connectivity map of the store; estimating a processing duration from start of the scan cycle to transformation of images of the inventory structures, captured by the mobile robotic system, into a stock condition of the store; and dispatching the mobile robotic system to autonomously capture images of the inventory structures within the store during a scan cycle preceding a scheduled restocking period in the store based on the processing duration.

The application provides a kind of data-driven based multi-autonomous mobile robot dynamic cooperative transport operation method, belongs to the field of multi-autonomous mobile robot trajectory planning and tracking control. First, the feasible global trajectory conforming to the kinematic characteristics and safety of each autonomous mobile robot is planned;Second, the speed information of each trajectory point is obtained. Then, the feasible global trajectory with speed information is processed to obtain the specific executable local reference trajectory, and the local reference trajectory is fitted to obtain the local expected trajectory. Finally, the local expected trajectory is tracked, and the control parameters are adjusted, and the multi-autonomous mobile robot dynamic cooperative transport operation is completed. The application can improve the robot trajectory tracking accuracy and stability;Through real-time local trajectory planning and adaptive parameter adjustment method based on reinforcement learning, while ensuring the multi-autonomous mobile robot dynamic cooperative transport operation, the safety and anti-interference ability of the multi-autonomous mobile robot system are improved.

Methods, systems, and apparatus operate to determine a health profile of a mechanical device including using a mobile robotic system to determine a location of a mechanical device. The mobile robotic system determines a location of a component of the mechanical device and measures a vibration parameter at the location of the component of the mechanical device. If the vibration measurement is outside a predetermined range, the system alerts personnel.

An autonomous energy transfer system includes a robotic system that includes an end effector; a slide system for moving the robotic system; a cable management system for managing energy transfer cables; an energy transfer outlet system for the energy transfer cables; a first camera system for obtaining image data associated with a receptacle access point of a work machine; a second camera system for obtaining image data associated with an access mechanism of the receptacle access point and one or more receptacles included in the receptacle access point; a door opening system for opening an access door of the receptacle access point; a door closing system for closing the access door; a connector retention system for enabling coupling between one or more plugs of the end effector and the one or more receptacles; and a connector protection system for protecting the one or more plugs.

A mobile robot system is described, consisting of a mobile robot and a cloud system. The mobile robot utilizes cloud computing to offload 3D scene reconstruction based on Neural Radiance Fields (NeRF). The mobile robot advantageously employs view filtering and next-best-view selection techniques that optimize the image acquisition process required to train an NeRF model with the cloud system. These techniques allow the mobile robot to discard redundant images that do not provide significant new information about the environment. Furthermore, these techniques enable the mobile robot to strategically select the next-best views to capture, maximizing information gain while minimizing the total number of images required and the time needed to acquire them.These techniques offer a significant reduction in the overall bandwidth required to provide image data to the cloud system and can lead to a more accurate and higher-quality 3D reconstruction of the environment.

The invention discloses a four-Mecanum-wheel mobile robot fixed time path tracking control method based on a sliding mode, and relates to the technical field of control. Aiming at the problems of parameter uncertainty, external disturbance and the like in a four-Mecanum wheel mobile robot system, the method combines neural network compensation and a sliding mode control technology to construct a fixed time sliding mode controller based on a neural network: establishing a system kinematics and dynamics fusion model containing the parameter uncertainty and the external disturbance; designing a novel fast nonsingular terminal sliding mode surface; a radial basis function neural network is adopted to approach system coupling uncertainty in real time, a controller is designed in combination with an adaptive updating law and a smooth sign function, high-precision path tracking is achieved, and buffeting is effectively restrained. According to the control method provided by the invention, rapid convergence of tracking errors of the four-Mecanum-wheel mobile robot can be realized, and the method has high robustness, high tracking precision and a good buffeting suppression effect.

Embodiments of the present application provide a mobile robot repositioning method, a mobile robot system and an electronic device. The method is applied to the technical field of mobile robots, and comprises: obtaining description information of a specified sound wave received by a mobile robot as first description information; wherein the description information represents characteristic information of the specified sound wave when it reaches the mobile robot; determining a pose corresponding to the first description information as a first pose based on a pre-constructed correspondence between description information and poses; wherein the correspondence between the description information and the poses is constructed based on description information of the specified sound wave received by the mobile robot in different poses; and determining a current pose of the mobile robot with the first pose as an initial pose. Through the present solution, the repositioning efficiency can be improved.

A medical robotic system may include a secondary brake release to allow a user to more easily move an arm of the robotic system when the system is in a power-off or failure condition. The robotic system may include a joint and a braking mechanism that may limit movement of the joint. The brake mechanism may include a brake material, a first electromagnetic assembly, and a user-commanded release mechanism. The first electromagnetic assembly may disengage the braking material from the engaged configuration to the disengaged configuration. In addition, a user-commanded release device may disengage the braking material from the engaged configuration to the disengaged configuration independently of the first electromagnetic assembly.

The invention discloses a multi-mobile robot obstacle avoidance control method and system based on radar and visual feature fusion, and the method comprises the steps: collecting the point cloud data of a multi-modal sensor of a mobile robot, carrying out the time-space fusion and preprocessing, carrying out the obstacle clustering segmentation of the preprocessed data, obtaining an obstacle candidate cluster, and carrying out the clustering segmentation of the obstacle candidate cluster; calculating a discrete obstacle boundary; an obstacle smooth distance approximation model is constructed, discrete obstacle boundaries extracted from the multi-modal point cloud data are converted into continuous differentiable mathematical representation, a smooth distance indicator function is obtained, and then a safety barrier function value of the mobile robot relative to the obstacle is obtained through calculation of the smooth distance indicator function; collecting multi-modal point cloud data of the mobile robot in real time, and calculating a safety barrier function value; and judging whether to trigger an obstacle avoidance early warning threshold according to the safety barrier function value. According to the invention, collision-free safe movement of a multi-mobile robot system can be realized, and a predetermined formation shape and a reference trajectory can be accurately maintained.

Systems and methods for generating safety zones for a mobile robot are described. These systems and methods may include receiving information about a cart or attachment to be used on the mobile robot, such as the cart's size and the number of supports. Furthermore, the systems and methods may include generating safety zones based on the type of mobile robot and the information about the cart or attachment. Finally, the systems and methods may include operating the mobile robot based on the safety zone, such that if an object is detected within the safety zone, a controlled stop of the mobile robot is triggered.

The invention discloses a base station and a self-moving robot system. Belongs to the technical field of mowers. In the base station provided by the invention, when the base station is in the first use state, the first power supply unit supplies power to the positioning module, so that the base station can be conveniently moved in the process of moving in a specified area to find a target installation position meeting a signal quality requirement, and the positioning accuracy is improved. And when the base station is in the first use state, the second power supply unit supplies power to the positioning module through the second power supply unit or the third power supply unit, so that the positioning module can continuously and stably execute a positioning function.

The invention provides a transport system comprising an autonomous mobile robot (AMR) (1) and a device to be moved (2), which transport system can be operated safely and efficiently within an industrial / commercial environment, while the AMR (1) and the device to be moved (2) can be produced in a cost-efficient manner. It is a particular object of the invention to provide a support member (4) of the device to be moved which has no or only a negligible influence on the safety system, to provide a device to be moved (2) which can carry heavy loads, preferably in the range of hundreds to thousands of kilograms, to provide a safety sensor system for the AMR which can provide a protection zone (5) around the AMR and the device to be moved, and wherein the support member (4) of the device to be moved (2) has no or only a negligible influence on the transport safety. It is a further object of the invention to ensure the correct attachment of the cart / shelf (2) to the AMR (1) before and during driving.