Abstract: Robot control systems, methods, control modules, and computer program products that leverage one or more large language model(s) (LLMs) in order to achieve at least some degree of autonomy are described. Robot control parameters, environment details, and/or instruction sets may advantageously be specified in natural language (NL) and communicated with the LLM via an NL prompt or query. An NL response from the LLM may then be converted into a task plan. A task plan that successfully completes a first instance of a work objective may be parameterized and re-used to complete a second instance of the work objective. Parameterization of a task plan may include replacing one or more nouns/objects in the NL task plan with variables, while optionally preserving one or more verbs/actions in the NL task plan.

Abstract: One example method of operation may include receiving, from a drone, one or more communications indicating a distress event experienced by the drone based on one or more indicators, transmitting a mitigation instruction message to the drone to initiate a mitigation operation, receiving from the drone, one or more communications including content stored on the drone, and transmitting a data purge instruction to the drone to purge data stored on the drone.

Abstract: A robot control device executes assist control for generating an assist force in a direction of an external force applied to a robot in a case where a position of the robot is located in a first area set in a work area of the robot when the external force is applied to the robot. The robot control device stops the execution of the assist control in a case where the position of the robot is located in a second area set outside the work area of the robot. The robot control device restricts the execution of the assist control in a case where the position of the robot is located in a third area set outside the first area and inside the second area.

Abstract: Utilization of user interface inputs, from remote client devices, in controlling robot(s) in an environment. Implementations relate to generating training instances based on object manipulation parameters, defined by instances of user interface input(s), and training machine learning model(s) to predict the object manipulation parameter(s). Those implementations can subsequently utilize the trained machine learning model(s) to reduce a quantity of instances that input(s) from remote client device(s) are solicited in performing a given set of robotic manipulations and/or to reduce the extent of input(s) from remote client device(s) in performing a given set of robotic operations. Implementations are additionally or alternatively related to mitigating idle time of robot(s) through the utilization of vision data that captures object(s), to be manipulated by a robot, prior to the object(s) being transported to a robot workspace within which the robot can reach and manipulate the object.

Abstract: A trajectory plan generation device executes a first search process for searching for a plurality of position candidates which are movement destinations of the tip portion within a predetermined distance from first trajectory information indicating positions and postures of the tip portion between the start point and the end point, a second search process for searching for a plurality of posture candidates of the tip portion that change within an allowable range by spherical interpolation based on postures of the tip portion at the start point and the end point, a determination process for determining second trajectory information indicating positions and postures of movement destinations of the tip portion from the first trajectory information based on the plurality of position candidates searched for by the first search process and the plurality of posture candidates searched for by the second search process, and an output process.

Abstract: An imaging system for a surgical robot and a surgical robot. The imaging system includes: a fixed display device for acquiring and displaying image information about a surgical environment; a movable display device, which is coupled, so as to be movable relative, to the fixed display device, the movable display device configured to acquire and display the same image information as is displayed by the fixed display device; and a console having a support on which the fixed display device is mounted. The combined use of the movable display device with the fixed display device in the imaging system and the surgical robot provide more options of operation to an operator. The movable display device can be adjusted according to the desired comfort and personal preferences of the operator to provide the operator with an experience of increased operational comfort and reduce the fatigue of the operator.

Abstract: A robot system includes: a robot comprising a joint driven by a motor; and a circuitry configured to: execute position control of the motor based on position commands; store torque commands generated based on the position commands during execution of the position control of the motor; and execute torque control of the motor based on the stored torque commands.

Abstract: Examples provide a method and system for customized item decanting. A decant manager, implemented on a processor, identifies a destination tote in a set of totes for placement of a selected item. The decant manager controls a robotic decanting device to remove the selected item from a selected case and places the selected item into the destination tote. The decant manager analyzes sensor data and item data associated with the selected item to confirm an identification of the selected item placed into the destination tote for inventory update.

Abstract: A driving support device wherein an own vehicle and a peripheral vehicle are symbolized, and relative dispositions are displayed in real time in a display unit visible to the driver, is obtained to facilitate a lane change by a driver. The driving support device includes a vehicle detecting unit, which detects peripheral vehicles positioned in a periphery of a vehicle, and an image generating unit, which generates an image representing positions of the vehicle and the peripheral vehicles from vehicle information obtained by the vehicle detecting unit. The image generating unit generates a driving support image including vehicle information representing relative dispositions of the vehicle and the peripheral vehicles using symbols indicating the vehicle and the peripheral vehicles. The image generating unit includes an image stacking unit, which generates original data of the driving support image, and an image control unit, which cuts a necessary portion from the original data.

Abstract: Training and/or using a machine learning model for performing robotic tasks is disclosed herein. In many implementations, an environment-conditioned action sequence prediction model is used to determine a set of actions as well as a corresponding particular order for the actions for the robot to perform to complete the task. In many implementations, each action in the set of actions has a corresponding action network used to control the robot in performing the action.

Abstract: An airport surface semantic path representation and an outlier taxiing pattern detection method for airport operation management, semantic conversion is realized based on dynamic features in an aircraft taxiing process, and after combining with surface map topology information, an airport surface aircraft semantic path representation is obtained; road segment geographic information is used to allocate a road segment weight to improve a longest common sub-sequence method, thereby constructing a flight path similarity matrix and using hierarchical clustering to realize surface taxiing pattern recognition; finally, by calculating the internal similarity of the identified patterns, the maximum outlier for identifying outlier patterns is obtained; after calculating the similarity between subsequent input flight paths and each pattern, as well as comparing a corresponding outlier with the maximum reachable outlier, the prewarning of outlier flight paths is achieved, the safety of surface management is ensured, and

Abstract: A computer-assisted medical system includes a manipulator arm and a controller. The controller includes a computer processor and is configured to determine a kinematic configuration, the kinematic configuration being prior to an installation of a replacement tool on the manipulator arm. The kinematic configuration is of the manipulator arm and a previous tool attached to the manipulator arm and with an end effector of the previous tool located at an insertion location. The controller is further configured to determine a reference geometry of the previous tool in the kinematic configuration, determine an insertion trajectory for the replacement tool based on the reference geometry, and facilitate an insertion of the replacement tool toward a target location of the insertion trajectory by controlling the replacement tool to move in accordance with the insertion trajectory.

Abstract: In an example, a method determines a reference vehicle traveling in a first lane. The first lane merges with a second lane at a merging point. The method can determine a merging plan for a merging vehicle traveling in the second lane to merge into the first lane based on a vehicle position, and in some cases the speed, of the reference vehicle in the first lane. The method can overlay, via a display device, a virtual target in a field of view of a roadway environment of a driver of the merging vehicle based on the merging plan of the merging vehicle.

Abstract: In a control method for a robot including a manipulator and a force detector that detects an external force acting on the manipulator on three detection axes orthogonal to one another, a direction of the external force is detected by the force detector, and a degree of freedom of motion of a tool center point set for the manipulator according to the external force is limited based on the direction of the external force.

Abstract: Embodiments of the present disclosure provide a method for lane changing decision for vehicles on expressways considering safety risks in a networked environment, which is applicable to a multi-lane expressway. The method includes collecting a demand for lane change of a target vehicle; collecting a roadway and a lane where the target vehicle is located; collecting intervals between the target vehicle and a front vehicle and a rear vehicle on a lane that is switching into; determining a lane change direction of the vehicle; and executing a lane change operation by the target vehicle. A lane changing decision model provided in the embodiments of the present disclosure helps to improve the efficiency of lane change and the safety of lane change in expressways and provides a support for changing lanes in a multi-lane expressway.

Abstract: A control system for a compactor is disclosed. The control system can include any one or combination of one or more position sensors, a steering system, a control interface and a controller. The controller can be in communication with at least the control interface and the one or more position sensors. The controller can be configured to receive data recording a position of the compactor when physically operating the compactor along at least a portion of the desired boundary of a compaction area, determine from the data a virtual boundary of the compaction area corresponding to the position of the compactor when physically operating the compactor along the desired boundary of the compaction area, and generate at least a first work plan for operating the compactor to compact in the compaction area up to the virtual boundary.

Abstract: An apparatus, method and computer-readable storage medium are provided for laser ablation of a structural part. The method includes accessing a digital model of the structural part, and tiling the digital model into tiles that correspond to respective regions of the structural part. The method includes determining discrete tool paths of a machine tool for respective ones of the tiles for laser ablation of the respective regions of the structural part. And the method includes generating instructions for the machine tool to perform the laser ablation of the structural part according to the discrete tool paths.

Abstract: The various embodiments described herein generally relate to systems and methods for operating one or more self-driving vehicles. In some embodiments, the self-driving vehicles may include a vehicle processor being operable to: control the vehicle to navigate an operating environment in an initial vehicle navigation mode; monitor for one or more trigger conditions indicating a possible change for the vehicle navigation mode; detect a trigger condition; determine a prospective vehicle navigation mode associated with the detected trigger condition; determine whether to change from the initial vehicle navigation mode to the prospective vehicle navigation mode; and in response to determining to change from the initial vehicle navigation mode to the prospective vehicle navigation mode, adjust one or more vehicle attributes corresponding to the prospective vehicle navigation mode, otherwise continue to operate the vehicle in the initial vehicle navigation mode.

Abstract: Control calculation units of a back system in each actuator operate by a collaborative drive mode in which a torque is output to a motor drive unit by using an information transmitted and received mutually by a communication between the systems in common. Cooperative control calculation units in a reaction force actuator and a turning actuator can operate in cooperation with each other based on the information transmitted and received mutually by a communication between actuators. A communication between adjacent systems and a communication between adjacent actuators are restored, when a focus control calculation unit is restored, after the focus control calculation unit is stopped during operation and at least one of the communication between adjacent systems or the communication between adjacent actuators is interrupted.

Abstract: A collision probability calculation device is provided with: a setting unit that sets a two-dimensional area composed of direction components of a first direction and a second direction, and including a first estimated position where a vehicle is estimated to arrive in the future from a reference position; a first variance calculation unit for calculating a first variance value of first position information in the two-dimensional area; a second variance calculation unit for calculating a second variance value of second position information on a second estimated position where an object is estimated to arrive in the future at the time when the vehicle arrives at the first estimated position; and a probability calculation unit for calculating the probability of a collision between the vehicle and the object, using the two-dimensional area, the first position information, the second position information, the first variance value and the second variance value.