16 results about "Mobile service robot" patented technology

The invention comprises a method for controlling a mobile service robot for monitoring the movements of a person, comprising identifying the person, associating the identified person with a stored monitoring profile, capturing the person's movements by means of a motion detection sensor, generating observation points for the captured person, evaluating the captured movements of the person, retrieving position data as coordinates of a map, and automatically outputting information to the captured and identified person via an output unit of the mobile service robot.

Method for path planning of a mobile service robot, comprising retrieving a monitoring profile from a memory, reading a time period for which the service robot is to travel a path with the person and / or monitor the person, from or by means of the monitoring profile(s), wherein after this time period the traveling of a path with the person and / or the monitoring of the person is to end, movement over a path between a starting position and a turning position, wherein the service robot performs a turn at the turning position, and defining a new turning position at which the service robot changes direction and moves to a stored position.Before determining the new turning position, the average speed of the service robot or person while traveling the distance is determined, the remaining distance after which the journey should be completed at the determined average speed within the read-out time period is determined, and a remaining distance is determined.

A wind turbine service system configured to perform at least one service task in a wind turbine (200) is provided. The wind turbine (200) comprises at least two floors (211, 212) at different vertical positions. The wind turbine service system (10) comprises: a service robot (100) that is self-propelled and controllable to perform at least one service task; and a vertical movement aid (250) extending between at least two of the floors (211, 212). The wind turbine service system (10) is configured to have a first movement mode in which the service robot (100) moves on at least one of the floors (211, 212) in a self-propelled manner and without mechanical guidance, and wherein the wind turbine service system (10) is further configured to have a second movement mode in which the service robot (100) moves on at least one of the floors (211, 212) in a self-propelled manner and without mechanical guidance. In the second motion mode, the service robot (100) interacts with the vertical movement aid (250) to move the service robot between the at least two floors (211, 212).

The invention comprises a method for controlling a mobile service robot for monitoring the movements of a person, comprising identifying the person, associating the identified person with a stored monitoring profile, capturing the person's movements by means of a motion detection sensor, generating observation points for the captured person, evaluating the captured movements of the person, retrieving position data as coordinates of a map, and automatically outputting information to the captured and identified person via an output unit of the mobile service robot.

A mobile service robot with a safety motion controller, wherein the safety motion controller meets the requirements of ISO 13849, IEC 62061 and / or IEC 61508, and an application layer, wherein the application layer includes at least a proportion of applications that meet the requirements of software safety class A and not software safety classes B and C of IEC 62304. This allows the technical requirements for the safety of the mobile service robot to be reduced at the application layer.

The invention discloses an intelligent scheduling method and system for a mobile operation robot, and the system comprises a robot intelligent monitoring system, an image data processing system, a central scheduling management system and a scheduling control system, and the robot intelligent monitoring system and the image data processing system are connected with the central scheduling management system. The robot intelligent monitoring system is connected with the image data processing system, and the central scheduling management system is connected with the scheduling control system. According to the intelligent scheduling method and system for the mobile operation robot, the robot intelligent monitoring system, the image data processing system, the central scheduling management system and the scheduling control system are arranged, remote real-time monitoring can be conveniently carried out on the robot, multi-aspect monitoring and integration are carried out, and the intelligent scheduling method and system for the mobile operation robot are convenient to use. And the monitored data can be conveniently processed and analyzed, the working state of the robot is intelligently analyzed, and the robot can be better and remotely dispatched and controlled.

The present application discloses a mobile service robot based on computer vision. The mobile service robot based on computer vision includes a gesture detection module, a fall detection module, a radar following module, and a news summary module. The gesture detection module is used to obtain hand images through a camera for gesture detection processing to obtain gesture detection results; the fall detection module is used to obtain human body images based on the gesture detection results for fall detection processing to obtain fall detection results; the radar following module is used to obtain laser radar data based on the gesture detection results to follow the movement of the mobile service robot based on computer vision; the news summary module is used to obtain news data based on the gesture detection results for summary processing to obtain news summary text. The embodiments of the present application can organically combine mobile robots with artificial intelligence technology and apply them to service robots for the elderly, and can be widely used in the field of robotics technology.

The application relates to a visual language navigation data enhancement method and device for an indoor mobile service robot and a storage medium. An instruction generation model is trained by using a visual language navigation data set; a first navigation path is collected in a new environment according to a simulation environment; a first navigation instruction is generated by using the trained instruction generation model according to the first navigation path, a simulation environment data set is expanded, and a preset navigation model is trained; synchronous positioning and map construction are performed in an actual deployment environment of the indoor mobile service robot, and a topological navigation map is constructed according to the positioning and map construction results; a panoramic map is collected in the actual deployment environment according to the topological navigation map; a second navigation path is collected in the actual deployment environment, and a second navigation instruction is generated by using the trained instruction generation model, a deployment environment data set is expanded, and the trained navigation model is fine-tuned. Compared with the prior art, the application has the advantages of improving the generalization of the navigation model and the performance of the navigation model in the deployment environment.

This invention claims protection for a dynamic environment localization and mapping method for mobile service robots based on deep clustering, belonging to the field of autonomous navigation for intelligent robots. It includes the following steps: S1, acquiring environmental information using an RGB-D depth camera; S2, preprocessing the input image information, assigning depth information to each feature point during feature point extraction; S3, acquiring image semantic information using an object detection network, and combining this with geometric methods to obtain dynamic regions to be removed; S4, clustering feature points within the dynamic regions based on the depth information to determine and remove the feature points to be removed; S5, using the ORB-SLAM2 algorithm to locate and navigate the remaining feature points. Validation on the public dataset TUM shows that the proposed SLAM system can achieve more accurate localization and navigation in dynamic environments.

The artificial emotion potential field path planning algorithm relates to the application field of path planning of mobile service robots, and the planned path can consider the real experience and emotional feeling of the user in the service process of the old-age service robot. The application proposes an algorithm based on a mathematical model, which can solve the problem that the path planning of the mobile service robot cannot take care of the user's emotion in a specific situation, and the planned path has more advantages in the emotional experience of the user than other methods. The application comprises the following steps: step one: design a human-computer interaction experiment to obtain a distance emotion model; step two: establish an artificial emotion potential field model; obtain the position of the robot at t-1 time and the emotional state (valence, arousal) of the person, and the position of the robot at t time and the emotional state (valence, arousal) of the user; step three: robot path planning process.

The disclosure provides a method for exchanging data within a robotic system comprising a mobile field robot for operating in a field and a mobile service robot, the field robot and the service robot each comprising a buffer for storing data and a first communication device with a short-range communication reach for exchanging data with each other, the method comprising: commanding the field robot to operate in the field using data stored in the buffer of the field robot, recognizing a necessity of a data transfer for the field robot, commanding the service robot to approach to the field robot, detecting that one of the robots is covered by the short-range communication reach of the other robot, initiating a data transfer between the field robot and the service robot.

A robot (110) for providing services to a user (120) carrying a user communication device (130) is disclosed. The robot (110) comprises a drive unit (112) for moving the robot (110) and a communication interface (113) for sending a plurality of perceived signals and message signals to a user (120). Furthermore, the robot (110) comprises a control unit (111) for determining positions of a plurality of targets (120, 140) in the vicinity of the robot (110) based on the plurality of perceived signals and the message signals, and determining a position of the user (120) based on the positions of the plurality of targets (120, 140) in the vicinity of the robot (110). The control unit (111) is also used to control the drive unit (112) to move the robot (110) based on the position of the user (120). The mobile robot (110) can accurately locate the user (120) even under the conditions of low visibility and / or out of coverage.

A method for path planning of a mobile service robot, comprising retrieving a monitoring profile from a memory, reading a time period for which the service robot is to travel a path with the person and / or monitor the person, from or by means of the monitoring profile(s), wherein after this time period the traveling of a path with the person and / or the monitoring of the person is to end, movement over a path between a starting position and a turning position, wherein the service robot performs a turn at the turning position, defining a new turning position at which the service robot changes direction, wherein, prior to defining the new turning position, the time already elapsed for completing the path and / or monitoring the person is determined, and the direction of movement of the service robot is determined.The system calculates the difference between the read time duration and the time duration that has already elapsed, and triggers an action when the time threshold is undershot.

Systems and methods for robot-executed site disinfection are provided, employing an autonomous robot equipped with a germicidal light source. In an area that is already mapped with a pre-defined trajectory, the robot may generate a map of delivered dosage and regions of UVC shadows when the robot moves in the environment. Alternatively, the robot may generate a trajectory to be followed, optimized to reduce shadows and minimize electrical energy usage. In an area already mapped, the robot may generate a map of delivered dosage and of shadows. Alternatively, the robot may generate a trajectory to disinfect surfaces based on an area map while reducing shadows and minimizing electrical energy usage. In an unmapped area, the robot may employ an exploration strategy to generate a trajectory to create a map of the area, while simultaneously performing disinfection of surfaces using a minimum amount of electrical energy.

The invention comprises a method, a device, and a system for pain level measurement. Based on the measurement and its evaluation, several possible events are triggered, such as output via an output unit, control of a motor controller, transmission of information via a wireless interface, and / or adjustment of a monitoring profile with regard to the duration of an exercise and / or the distance to be covered during an exercise. In one aspect, the system is a mobile service robot.