Abstract: A part manipulator an end effector coupled to a distal end of a robot arm. The end effector includes first and second clamp assemblies coupled to a frame. The first clamp assembly includes a first part gripper configured to pick a first part. The second clamp assembly includes a second part gripper configured to pick a second part. The second part gripper is movable relative to the frame in an actuation direction between a retracted position and an extended position. The second part gripper is located a second distance from the distal end of the robot arm in the retracted position. The second part gripper is located a third distance from the distal end of the robot arm in the extended position greater than the second distance.

Abstract: A vehicle control device has a processor configured to set a target torque as a target for driver torque at which generation of anti-torque on a steering wheel is to be initiated, based on a reference torque as a reference for driver torque at which generation of anti-torque is to be initiated against the driver torque produced by operation of the steering wheel by a driver, and a current correction value for the reference torque, to count a number of deviations from a lane marking line of a lane in which the vehicle is traveling while the driver torque exceeds the target torque, and to calculate a new correction value for the reference torque based on a correction coefficient that is set based on the number of deviations, wherein the next target torque is set based on the reference torque and the new correction value for the reference torque.

Abstract: Techniques for analyzing driving scenarios are discussed herein. For example, techniques may include determining, based at least in part on log data representing a scenario of the vehicle operating in an environment, a plurality of frames of the scenario. For individual frames, the techniques may determine a respective set of discrete areas of the environment based on a respective position of the vehicle in the frame, determine a respective set of labels for the discrete areas for the individual frame, determine respective agent feature values of agent features for agents in individual discrete areas of the discrete areas of the individual frame, and determine a feature vector for the scenario by aggregating agent feature values of the individual frames based on the labels for the discrete areas for the frame. An action may then be performed based at least in part on the feature vector.

Abstract: A robot transmits a command to control an external device around the robot based on pre-stored environment information while the robot is operating in a learning mode. The external device makes a noise as part of its operation. Also, the robot outputs user speech for learning while the external device is operating. The robot learns a speech recognition model based on the noise and speech of a user acquired through a microphone of the robot. The speech recognition model is then used by the robot or by another device to better understand the user when the user talks. The robot is then able to more accurately understand and properly execute speech commands from the user.

Abstract: A medical system comprises an eye tracking unit which includes an image display, an eye tracker, and a processor. The image display is configured to display to a user an image of a surgical field. The eye tracker is configured to measure data corresponding to eye gaze dynamics of the user during a procedure. The processor configured to assess a stress or fatigue level of the user based on the measured data. A corresponding method includes displaying an image of a surgical field on an image display, measuring a gaze point of a user during a procedure with an eye tracker, measuring data corresponding to eye gaze dynamics of the user during the procedure, and assessing a stress or fatigue level of the user based on the measured data.

Abstract: A method and a system have at least one sensor for monitoring a plurality of protected zones for infringement by at least one object. A controller controls a plant to be safeguarded having a mechanically movable part, having the sensor for the at least planar monitoring of the protected zones by a control and evaluation unit for evaluating. The received signals of the sensor determine which of the protected zones has been infringed by the object and which protected zone the object has left. The controller generates and outputs a switch signal that is a release signal for the release of the plant operation. The mechanically movable part is either in a first working zone or in a second working zone, with the first working zone and the second working zone each being associated with a first protected zone and a second protected zone, respectively.

Abstract: A system for cognitive assistance in aircraft assembly includes a system to monitor an aircraft assembly process and acquire physical and physiological data on a human worker performing assembly operations. A cognitive model of the human worker on a data-processing device is coupled to the monitoring system to receive acquired physical and physiological data of the human worker, the cognitive model configured to provide state information on the human worker and prognostic data on expected behavior of the human worker during the aircraft assembly process. The state information and the prognostic data are continuously updated during the aircraft assembly process. A system control is coupled to the monitoring system and the cognitive model to assess current state of the aircraft assembly process based on the monitored aircraft assembly process, the state information of the of the human worker and the prognostic data of the cognitive model.

Abstract: A method for loading an Unmanned Aerial Vehicle with one or more items is disclosed. The method includes obtaining a Center of Gravity of each of the one or more items and at least one physical characteristic of each of the one or more items. The method also includes categorizing each of the one or more items based on the obtained Center of Gravity and the at least one physical characteristic of the one or more items. The method further includes selecting, for each of the one or more items, one of a plurality of Unmanned Aerial Vehicles to transport the corresponding one or more items based on the categorization of each of the one or more items.

Abstract: This teaching device comprises: a user interface unit capable of displaying a creation screen for a robot program; a teaching point display control unit for controlling displaying of previously taught teaching points on the creation screen; a teaching point selection unit for selecting a specific teaching point from the displayed teaching points; and a teaching point reuse unit for reusing the selected teaching point as a new teaching point for a robot program being created. The previously taught teaching points include at least one of a teaching point taught previously for the robot program being created and a teaching point taught previously for another robot program different from the robot program.

Abstract: A haptic feedback device includes: a first feedback apparatus, including: a fixed platform, a movable platform, a ring disposed on the movable platform, and a power unit disposed on the fixed platform and connected to the movable platform. The power unit is configured to obtain a first control signal generated by a controller and output torsion according to the first control signal. The movable platform is configured to be driven by the torsion to move relative to the fixed platform. The ring is configured to provide feedback force as the movable platform moves, to implement haptic feedback.

Abstract: A control method for a mobile object that automatically moves includes: causing a sensor disposed on the mobile object to detect a target object multiple times to acquire detection results of respective detection processes performed by the sensor as a point group; estimating a position and an attitude of the target object for each detection process based on the point group; calculating reliability of accuracy in an estimation result of the position and the attitude of the target object for each detection process; selecting, from among estimation results of the respective detection processes, an estimation result used for setting an approach path to a target position at which a predetermined position and attitude with respect to the target object are achieved based on the reliability for each detection process; setting the approach path based on the selected estimation result; and causing the mobile object to move along the approach path.

Abstract: A surgical robotic system has a surgical robotic arm, and a programmed processor that determines a longest principal axis of a velocity ellipsoid for a first configuration of the arm, applies a maximum task space velocity (that is in the direction of the longest principal axis) to an inverse kinematics equation which computes a potential joint space velocity, computes a ratio of i) the potential joint space velocity and ii) a joint space velocity limit of the arm, and applies the ratio to an initial joint space velocity, to produce a regulated joint space velocity. Other aspects are also described and claimed.

Abstract: A robotic system includes a base movable relative to a floor surface and a controllable arm extending from the base. The arm is configured to support and move a tool. The arm has a powered joint operable to position and/or orient a distal portion of the arm. The robotic system further includes a processor coupled to the powered joint and configured to drive the powered joint to reposition the base while the position and/or orientation of the distal portion of the arm is maintained.

Abstract: Generating trajectories from an implicit neural representation (INR) model to predict human mobility in uncertain traffic conditions includes receiving geocoordinate data representing vehicle motion observations of a traffic pattern; receiving a road network based on the geocoordinate data; training the INR model to learn continuous, latent fields of stochastic traffic properties over space and time based on the geocoordinate data; utilizing the INR model to extract spatio-temporal speed distributions from the geocoordinate data; applying a near-shortest-path, heuristic algorithm, weighted by predictions of the INR model, to produce real-world routing choices for traversing the road network; generating trajectories for transportation between an origin and destination in the road network using the algorithm and the predictions of the INR model, wherein the trajectories reflect non-deterministic and diverse route choices in the road network; and outputting generated trajectories to improve routing choices for a

Abstract: Methods and systems are provided for determining and mitigating vehicle pull force from passing other vehicles. In an exemplary embodiment, methods and systems are provided that include: obtaining sensor data via one or more sensors of a vehicle, the sensor data including both perception sensor data and vehicle dynamics sensor data; identifying, via a processor, one or more additional vehicles to be passed by the vehicle, using the perception sensor data; and predicting and determining, via the processor, a pull force for the vehicle that is caused by the passing of the vehicle by the one or more additional vehicles along with an impact of the pull force on the vehicle, based on both the perception sensor data and the vehicle dynamics sensor data, and control the vehicle to proactively mitigate the pull force on the vehicle; and vehicle with trailer when towing.

Abstract: The present disclosure provides an Industrial Internet of Things system for monitoring a collaborative robot with dual identification and a control method thereof. The Industrial Internet of Things includes a user platform, a service platform, a management platform and a sensing network platform and an object platform connected in sequence, and the control method comprises: monitoring a target collaborative robot on a production line, obtaining monitoring data, the monitoring data including at least one of image information of the target collaborative robot and displacement sensor data of the target collaborative robot; and processing the monitoring data.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot includes a drive system configured to move the telepresence robot; a control system configured to control the drive system to drive the telepresence robot around a work area; an object detection system configured to determine that a first object encountered by the telepresence robot is a human; and a social path component configured to: determine a first lockout zone having a first radius around the human and a first comfort zone having a second radius around the human, the second radius being larger than the first radius; and instruct the control system to cause the telepresence robot to: avoid traveling through the first lockout zone; move at a first maximum speed within the first comfort zone; and move at a second maximum speed outside of the first comfort zone, wherein the second maximum speed is greater than the first maximum speed.

Abstract: The purpose of the present invention is to eliminate the need, when a robot has been replaced with a new robot that is different in size, for an operator to directly re-input as operation program to make the robot operative. This robot control device comprises: a storage unit that stores an operation program; and a control unit that operates a robot is a robot coordinate system with three orthogonal axes. The control unit is provided with: a mobility range determination unit that determines whether there is, in the operation program, an axis, among the three orthogonal axes, that exceeds a mobility range of the robot; and a correction unit that, if it has been determined by the mobility range determination unit that there is an axis that exceeds the mobility range of the robot, rewrites the operation program so the axis is kept within the mobility range of the robot.

Abstract: An indoor mobile industrial robot system is configured to provide a weight to a detected object within an operating environment, where the weight relates to how static the feature is. The indoor mobile industrial robot system includes a mechanism configured to translate reflected light energy and positional information into a set of data points representing the detected object having at least one of Cartesian and/or polar coordinates, and an intensity. If any discrete data point within the set of data points representing the detected object has an intensity at or above a defined threshold the entire set of data points is converted into a weight and potentially classified representing a static feature, otherwise such set of data points is classified as representing a dynamic feature having a lower weight.

Abstract: A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: obtaining configuration instructions and data for each of a plurality of simulated vehicles, a specific driving behavior for each of the plurality of simulated vehicles corresponding to perception data obtained from perception data sensors; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated vehicles from a current position and speed to a corresponding target position and target speed, the target position and the target speed corresponding to the specific driving behavior for each of the plurality of simulated vehicles.