Abstract: A method for detecting and re-identifying objects using a neural network. The method includes the steps: extracting features from an image, the features comprising information about at least one object in the image; detecting the at least one object in the image using an anchor-based object detection based on the extracted features, classification data being determined by a classification for detecting the object with the aid of at least one anchor and regression data being determined by a regression; and re-identifying the at least one object by determining embedding data based on the extracted features, the embedding data representing an object description for the at least one feature of the image.

Abstract: A control method and a control system using the same as are provided. The method includes: extracting a corresponding component data from a component data stream based on an application protocol registered by each of a plurality of applications and encapsulating a corresponding application data packet for the application in response to receiving the component data stream in a current control period; transmitting the corresponding application data packet to each of the applications; obtaining control data reported by each of the applications according to data reporting timing corresponding to the application; and generating a component control instruction for controlling each of the components according to the control data reported by each of the applications in the current control period and the application protocol registered by the application. In this manner, the orderly control of a smart devices within a limited control period can be achieved.

Abstract: In some examples, user journey carbon footprint reduction may include generating, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction. A predicted journey carbon emissions may be generated for the vehicle for a specified journey. Based on collaborative filtering, at least one goal-based and conditions-based recommendation may be generated for the user of the vehicle for the specified journey for the user journey carbon footprint reduction. Based on a user behavior model, a user-interface display may be generated for the specified journey for the user journey carbon footprint reduction. Further, based on the user behavior model, and real-time monitoring of the user and the vehicle, a real-time update of the user-interface display may be generated for the specified journey for the user journey carbon footprint reduction.

Abstract: A value associated with a plurality of measurement objects that are embedded in a material associated with an intermediate layer of a plurality of layers associated with a tactile sensing unit is sensed. The value associated with the plurality of measurement objects is sensed by a sensor that is included a layer below the intermediate layer of the tactile sensing unit. An output of the sensor is used to make a determination associated with engagement of a robotic arm end effector with an item.

Abstract: A training processing device manages a training for a robot manipulation using a manipulation terminal. The training processing device communicates information with the manipulation terminal through a communication network, accepts first information that is information on the robot manipulation inputted into the manipulation terminal, while the manipulation terminal executing a computer program for the training of the robot manipulation, and manages the training based on the first information.

Abstract: This document describes a simulation system that simulates robots and other actors performing tasks in an area. In one aspect, a method includes obtaining a graph representing a physical area. The graph includes area nodes that represent regions of the area that are traversed by a set of actors that perform tasks in the area and terminal nodes that represent regions of the facility where the actors perform the tasks. A set of agents that each include a model corresponding to an actor is identified. At least a portion of the agents includes models for robots that perform tasks in the area. The model of an agent represents durations of time for traversing area nodes and performing tasks are terminal nodes during simulations. A sequence of tasks being performed in the area is simulated using the graph and the set of agents.

Abstract: A navigation server includes a processor. The processor is configured to derive one of a first route and a second route as a route from a place of departure to a destination of a vehicle in accordance with a remaining level of a travel battery of the vehicle. The first route includes a first road provided with a first non-contact electric power feeder. The second route includes a second road provided with a second non-contact electric power feeder that is different in electric power feed capability from the first non-contact electric power feeder. The processor is configured to output the derived route as a recommended route to a terminal associated with the vehicle.

Abstract: A system for forming a controlled safety area for a manipulator which system comprises a control unit being arranged to monitor the controlled safety area in order to prevent human entering to the controlled safety area to be hit by the manipulator working within the controlled safety area. The system according to the invention comprises at least one laser scanner being arranged to form at least one laser scanning wall such that the controlled safety area is divided in to a high grade safety area in between the at least one laser scanning wall, and to low a grade safety area outside the at least one laser scanning wall. The system comprises also at least one area detecting laser scanner arranged to detect humans at least in the low grade safety area around the high grade safety area.

Abstract: A method for driving a motor vehicle in an at least semiautomated manner. The method includes: receiving surrounding-area signals, which represent a first region of a surrounding area of the motor vehicle monitored with the aid of a surround-sensor system of the motor vehicle; receiving information signals, which represent information that is ascertained outside of the motor vehicle and is in regard to a second region of the surrounding area of the motor vehicle; generating and outputting control signals for controlling the lateral and/or longitudinal guidance of the motor vehicle on the basis of the surrounding-area signals and the information signals, in order to drive the motor vehicle in an at least semiautomated manner on the basis of the first region and the second region of the surrounding area of the motor vehicle. A device, a computer program, and a machine-readable storage medium, are also described.

Abstract: Provided is a robot including a media storing instructions that when executed by the processor of the robot effectuates operations including: obtaining sensor data indicative of operational hazards within a work environment; generating a map of the work environment based on data obtained from at least some sensors of the robot; identifying at least one room in the map; determining an object type of an operational hazard based on extracted features of the operational hazard and a database of various object types and their features; updating the map to include the object type of the operational hazard at a location in which the operational hazard was encountered by the robot; generating a coverage plan for areas of the work environment; and executing the coverage plan by the robot.

Abstract: A charging control system includes a lawn mower that includes a battery and performs a lawn mowing work while traveling autonomously, and a charging station for charging the battery. The lawn mower includes a superimposing unit for superimposing, on a charging current, a current indicating period information for defining a shutoff period of supply power to be supplied from the charging station. The charging station includes a current detector for detecting the charging current, an information acquisition unit for acquiring period information based on a detection result of the current detector, a switch for shutting off the supply power, and a shutoff controller for controlling the operation of the switch. The shutoff controller releases the shutoff of supply of power to the lawn mower based on the period information acquired by the information acquisition unit. Therefore, the power consumption of the lawn mower can be reduced.

Abstract: Systems and methods for camera control within surgical robotic systems are provided. One system includes a computing device, multiple robot assemblies, and a surgeon console. Each robot assembly among the multiple robot assemblies includes a robotic arm. A robotic arm of a first robot assembly is coupled to an image capture device. Robotic arms of at least a subset of robot assemblies, different from the first robot assembly, are coupled to surgical instruments. The surgeon console includes multiple handles, each communicatively coupled to a robot assembly coupled to a surgical instrument. The surgeon console is configured to transmit to the computing device one or more packets that include data related to a movement of at least one handle. The computing device configured to calculate a new position of the image capture device and transmit instructions to the first robot assembly to move the image capture device to the new position.

Abstract: Systems and methods for dynamic adjustments based on load inputs for robotic systems are provided. In one aspect, a robotic system includes a first robotic arm having at least one joint, a set of one or more processors, and at least one computer-readable memory in communication with the set of one or more processors and having stored thereon computer-executable instructions. The computer executable instructions cause the one or more processors to determine a first external load threshold for the at least one joint based on a maximum safe load capability of the first robotic arm, and adjust the first external load threshold during a medical procedure.

Abstract: The present invention provides a fractional order sliding mode synchronous control method for a teleoperation system based on an event trigger mechanism. The method comprises: establishing a dynamics model for the teleoperation system by considering external disturbance and parameter uncertainty, selecting a master robot and a slave robot, interactively establishing the teleoperation system through a communication network, determining system parameters of the dynamics model, designing a fractional order nonsingular rapid terminal sliding mode surface equation by utilizing a position tracking error and a fractional order calculus, setting a trigger event condition of information interaction between the master robot and the slave robot, designing a self-adaptive fractional order nonsingular rapid terminal sliding mode controller based on the sliding mode, designing a Lyapunov function to carry out stability analysis, proving the boundedness of a closed-loop state signal of the system.

Abstract: A robot control apparatus includes a selection part that selects a scenario to be used which an operator who operates a robot uses while operating the robot from among a plurality of scenario candidates in which an elapsed time since the robot has started an action and action contents of the robot are associated with each other, and a robot control part that controls the robot on the basis of the scenario to be used.

Abstract: A method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of an SNN is disclosed. A decision network in a synaptic autonomous learning module takes lidar data, distance from a target point and velocity at a previous moment as state input, and outputs the velocity of left and right wheels of the robot through the autonomous adjustment of the dynamic energy-time threshold, so as to carry out autonomous perception and decision making. The method solves the difficulty of the lack of intrinsic plasticity in the SNN, which leads to the difficulty of adapting to degraded environments due to the homeostasis imbalance of the model, is successfully deployed in mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in degraded, disturbed and noisy environments, and has validity and applicability on different degraded scenes.

Abstract: Techniques are disclosed that enable model predictive control of a robot based on a latent dynamics model and a reward function. In many implementations, the latent space can be divided into a deterministic portion and stochastic portion, allowing the model to be utilized in generating more likely robot trajectories. Additional or alternative implementations include many reward functions, where each reward function corresponds to a different robot task.

Abstract: An estimation device calculates a first perpendicular vector and a second perpendicular vector. The first perpendicular vector is a component of a vector in a movement of a first position, which is a provisional pivot position of a surgical tool, the component being perpendicular to a direction of an axis of the surgical tool. The second perpendicular vector is a component of a vector in a movement of a second position of the surgical tool, the component being perpendicular to the direction of the axis. Then, a first distance, which is a length from a reference point on a rear end side or a reference point on a front end side of the surgical tool to the first position, is updated based on an inner product of the first and second perpendicular vectors.

Abstract: An obstacle-avoidance method includes detecting an obstacle in a vicinity of a motor vehicle and planning an obstacle-avoidance path for avoiding the obstacle; and commanding steering and differential braking systems to handle the avoidance path.

Abstract: A mobile robot includes a position distance calculation command transmission unit 1, a position distance calculation command transfer unit 2, a reply position distance calculation command transmission unit 3, a direction storage unit 4, a reply position distance calculation command transfer unit 5, a first head robot unit determination command transmission unit 6, a robot unit determination unit 7, a first movement unit 8, a second movement unit 9, a next head robot unit selection command transmission unit 10 and a second head robot unit determination command transmission unit 11, for example.