Abstract: A substrate-conveying robot system includes the controller for acquiring positional information on a notch or an orientation flat in a substrate based on an image captured by an image capturer from a lower side with respect to a substrate-handling hand in conveyance of the substrate.

Abstract: Systems and methods are provided for providing landing assistance at a non-towered airport onboard an aircraft. Traffic data associated with an intruder aircraft is received via a common traffic advisory frequency (CTAF). The traffic data includes a position of the intruder aircraft. An aircraft position of the aircraft is received from a geospatial sensor system of the aircraft. A determination is made regarding whether the position of the intruder aircraft is within a pre-defined distance of the non-towered airport. A landing assistance display including a graphical representation of a traffic pattern, the aircraft position of the aircraft, and the position of the first intruder aircraft with respect to the traffic pattern is generated for display on a display device onboard the aircraft based on the determination.

Abstract: Provided is a robot control device for controlling a robot, the robot control device comprising a speed control unit for changing the operation speed of the robot in response to detection of a prescribed external force being applied to the robot when the robot is operating in accordance with a control program.

Abstract: A computer-implemented method for generating and presenting an electronic display of guidance for performing a robotic medical procedure may include receiving a plurality of prior procedure data sets; receiving or identifying objective data defining one or more of a duration or a patient outcome of the robotic medical procedure; executing an algorithm to identify a pattern across the plurality of prior procedure data sets; receiving information about an instance of the robotic medical procedure to be performed in the future for a patient outside the population; automatically generating guidance for performing the robotic medical procedure; and generating and presenting an electronic display of the guidance for performing the robotic medical procedure.

Abstract: Disclosed is a recording medium storing a program causing a computer to perform: sequentially acquiring nodes of an end effector of an articulated robot having joints and the end effector; and calculating, for each node, joint angle sets representing angles of the joints from the position information and the posture information in each node; creating posture sets in which a joint angle set selected for each node is combined and associated in an order of nodes; creating, based on each posture set, each path set including a discrete path of each joint for each posture set by creating, for each joint, the path from an angle of each joint of a joint angle set selected for a first node to an angle of each joint of a joint angle set selected for a last node; and selecting one path set based on an evaluation of each path set.

Abstract: A system for path selection, the system comprising a computing device, wherein the computing device is configured to receive a plurality of alimentary elements and a plurality of destinations. Computing device may compute, using the plurality of alimentary elements and the plurality of destinations, a projected combination as a function of an objective function, wherein computing is based on completion time and destination. Computing device may determine a combination ranking by generating a batching objective function, wherein the function generates an output ranking according to at least a target criterion and selects a combination. Computing device may provide batching instructions to a user. Computing device may determine a predicted path for the plurality of alimentary elements wherein the predicted path is updated as a function of each alimentary element that has reached its destination. Computing device may provide the predicted path to a user.

Abstract: An articulated arm system is disclosed that includes an articulated arm including an end effector, and a robotic arm control systems including at least one sensor for sensing at least one of the position, movement or acceleration of the articulated arm, and a main controller for providing computational control of the articulated arm, and an on-board controller for providing, responsive to the at least one sensor, a motion signal that directly controls at least a portion of the articulated arm.

Abstract: A system and method for selecting a trajectory to traverse comprises receiving a primary trajectory, determining, based at least in part on the primary trajectory, a primary area traversed by the sensor platform in accordance with the primary trajectory and a secondary area traversed by the sensor platform in accordance with a contingent trajectory, and determining, based at least in part on a sensor associated with the sensor platform, that an object is located at least partly within a combined area comprising the primary and secondary area. Upon determining that an object is in the combined area, determining, based at least in part on the object being located at least partly within the combined area, a probability of a collision with the object; and controlling, based at least in part on the determined probability of collision, the sensor platform.

Abstract: Implementations claimed and described herein provide systems and methods for map routing matching system, wherein the one or more machine-learning models scores link candidates of location data points to determine a most probable route. In one implementation, use a machine-learning model to calculate a probability score for a plurality of link candidates. The machine-learning model scores each link candidates based on weighting set by training data, wherein the weighting associated with at least one of travel time, match distance, heading difference, speed conformity, road curvature, road classification, or travel distance versus time delay. A plurality of total probability scores derived from one or more combinations of probability scores for respective link candidates is calculated, wherein one link candidate is selected for each location data point.

Abstract: Methods, systems, and media comprising; a physical robot in a physical workcell; an onsite execution subsystem that is configured to control the physical robot using a real-time control subsystem; a cloud-based belief world subsystem that is configured to receive and store sensor data captured in the workcell, wherein the onsite execution subsystem is configured to use sensor data stored by the cloud-based belief world subsystem in order to control the robot using the real-time control subsystem.

Abstract: A motion planning system and method for motion planning of an autonomous vehicle are provided, wherein a motion planning system determines a plurality of configuration samples through a configuration space, wherein the configuration samples are determined in predefined sampling steps, wherein a sequence of configuration samples defines a possible trajectory of the vehicle in the configuration space, wherein the plurality of configuration samples in each sampling step, are determined in parallel by using at least one graphics processing unit of the motion planning system, wherein sequences of configuration samples are calculated from all configuration samples by predefined motion criteria, and wherein the calculated sequences of configuration samples are provided as vehicle trajectories for motion of the vehicle.

Abstract: A navigation method includes obtaining an initial navigation route, receiving a route erasing operation, and erasing a target section according to the route erasing operation. The target section includes at least a part of the initial navigation route corresponding to the route erasing operation. The method further includes determining a target navigation route according to the initial navigation route and the target section, and controlling an electronic device to perform navigation according to the target navigation route.

Abstract: Systems and methods for determining a shortest path between nodes are provided. The systems and methods involve the use of a modified multi-level overlay (MLO) algorithm that allows for multiple potential paths to be computed at a rate that allows for more efficient delivery route planning in real-time or otherwise. The MLO data structure is used to generate hub labels that are subsequently used to determine the shortest path. Additionally, the MLO data structure is modified to provide for a more efficient shortest path determination. For example, the modified MLO data structure may improve efficiency at least by optimizing partitioning parameters and performing label intersection, as is described below in additional detail. This optimization may reduce the search space used by the MLO data structure during a query stage when a shortest path associated with a routing determination is performed.

Abstract: Systems for automatic labeling and methods for using automatic labeling systems are disclosed. A system can include a camera, and a controller including one or more processors coupled to one or more memories. The system can acquire an image of a sample object via the camera, and identify first and second tokens depicted in the image or positioned over the image of the sample object. The system can designate a location of the first token as a target label location at which a label is to be applied to the sample object, and designate a location of the second token as an identifying information location that is identifiable to determine an orientation of the sample object.

Abstract: A robot-based assembly control method includes providing a plurality of neural network models comprising at least a reinforcement learning network model and a tensor fusion network model. Training data for the models includes visual data from the vision device, tactile data from the tactile sensor, motion feedback data from the robot and torque feedback data from the robot. An assembly control system based on the robot, which includes a clamping effector at an end of a movable part of the robot, wherein a tactile sensor and a soft rubber pad are provided on an inside clamping portion of the clamping effector from inside to outside is described. Based on fusing the visual information with the external forces of other dimensions indirectly obtained from changes in tactile signals, representation vectors can be used to generate appropriate instructions of robot motion for flexibly adjusting the insertion force to complete the assembly.

Abstract: Techniques for generating a local graph are described herein. A vehicle may receive a destination and generate a preferred path thereto. The vehicle may generate a local graph based on the preferred path which may define a subregion of the environment within which the vehicle may perform dynamic routing operations. For example, the vehicle may determine a local boundary which may define the subregion. Further, the vehicle may identify one or more junction(s) located within the local boundary and identify candidate (or alternative) driving lane(s) exiting such junction(s). The vehicle may generate a lane reference (e.g., optimized trajectory for the vehicle to follow to the destination) for each candidate driving lane. In such cases, the local boundary, the candidate driving lanes, and/or lane reference(s) may be data represented in the local graph. The vehicle may be controlled based on the local graph.

Abstract: An image acquisition device for a work device performing a task on a target. The image acquisition device includes: an imaging device capturing an image of the target; and an imaging tool that includes a model of the work device and is operable by an operator. The imaging device is attachable to and detachable from each of the work device and the imaging tool, such that that a relative position between the imaging device and the model and that between the imaging device and the work device are identical when the imaging device is attached to the model and the work device. The imaging device captures a part of the model and a part of the work device along with the target when the imaging device is respectively attached to the imaging tool and the work device, the part of the model corresponding to the part of the work device.

Abstract: A computer-implemented control system and method for dynamically managing airflow in an air lubrication system of a vessel are disclosed. Real-time sensor data including vessel motion, acceleration, and speed-through-water are processed by a controller executing a machine learning model to predict near-future sea-state conditions. The controller accesses and interpolates computational fluid dynamics (CFD) efficiency profiles to determine target airflow values and generate valve and compressor commands that modulate airflow to multiple outlets beneath the hull. Feedback from hull and pressure sensors is used to stabilize the air layer, while a learning-based prediction engine continuously refines CFD profiles to improve operational efficiency and reduce parasitic load. The system enhances vessel hydrodynamic performance and fuel economy under varying environmental conditions.

Abstract: Techniques for operating a kinematic structure by manual motion of a link coupled to the kinematic structure include a system comprising a first manipulating means and processing means. The processing means is for detecting whether a first means for accessing an internal worksite is mounted to the first manipulating means; detecting an input indicating the system is to be in a set-up mode; and inhibiting, in response to detecting that the first means is mounted to the first manipulating means, transition of the system to the set-up mode.

Abstract: A control device for controlling an industrial machine, the control device comprising: an image operating unit that displays an image captured by a visual sensor on a display screen, and accepts a user operation with respect to the image; and a motion control unit that controls a motion of the industrial machine so as to move a visual field of the visual sensor displayed as an image on the display screen, in accordance with the accepted user operation.