Abstract: Jaywalking behaviors of vulnerable road users (VRUs) such as cyclists or pedestrians can be predicted. Location data is obtained that identifies a location of a VRU within a vicinity of a vehicle. Environmental data is obtained that describes an environment of the VRU, where the environmental data identifies a set of environmental features in the environment of the VRU. The system can determine a nominal heading of the VRU, and generate a set of predictive inputs that indicate, for each of at least a subset of the set of environmental features, a physical relationship between the VRU and the environmental feature. The physical relationship can be determined with respect to the nominal heading of the VRU and the location of the VRU. The set of predictive inputs can be processed with a heading estimation model to generate a predicted heading offset (e.g., a target heading offset) for the VRU.

Abstract: A foothold position control system and method for a biped robot are provided. 1) A feasible collision-free path is planned by using a path planning algorithm; 2) an available foothold area of a swing foot is determined according to step-length constraints, movement capabilities, foot sizes, and center offsets of a biped robot; and 3) fuzzy processing is performed to determine a specific foothold position of the biped robot. Selection of suitable foothold positions on both sides of a path when a biped robot executes specific walking actions after finishing path planning is realized. The foothold position control system and method has the advantages of being simple and easy to implement, having low computational load and high speed, being capable of exerting extreme movement capabilities of different biped robots, enabling more flexible movement of the biped robots, and so on.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying high-priority agents in the vicinity of a vehicle. The high-priority agents can be identified based on a set of mutual importance scores in which each mutual importance score indicates an estimated mutual relevance between the vehicle and a different agent from a set of agents on planning decisions of the other. The mutual importance scores can be calculated based on importance scores assessed from the perspectives of both the vehicle and the agents.

Abstract: According to one embodiment, during a first planning cycle, a first lane boundary of a driving environment perceived by an ADV is determined using a first lane boundary determination scheme (e.g., current lane boundary), which has been designated as a current lane boundary determination scheme. A first trajectory is planned based on the first lane boundary to drive the ADV to navigate through the driving environment. The first trajectory is evaluated against a predetermined set of safety rules (e.g., whether it will collide or get too close to an object) to avoid a collision with an object detected in the driving environment. In response to determining that the first trajectory fails to satisfy the safety rules, a second lane determination boundary of the driving environment is determined using a second lane boundary determination scheme and a second trajectory is planned based on the second lane boundary to drive the ADV.

Abstract: Formation of a tire trace due to automated driving travel of an automated driving vehicle (10) is prevented. In an automated driving system (500), an in-vehicle apparatus (100) is mounted in the automated driving vehicle (10) traveling a road by automated driving. The in-vehicle apparatus (100) effects automated driving such that a vehicle position through which the automated driving vehicle (10) travels deviates from a center in a transverse direction of the road by an offset value (321) in the transverse direction of the road.

Abstract: A method of probing and responding to a security breach in a computer network security system includes defining first and second rules and defining a model to output a probability that a security breach has occurred based on an input and to generate commands. Data is collected at first nodes according to the first rules and a first portion of the collected data is selected and sent from the first nodes to a second node. The selected first portion is input into the model to obtain an output probability that a security breach has occurred and the following steps are performed: determining signs of a security breach, generating a first command with the model to cause a second portion of the collected data to be selected, and generating a second command with the model to cause a change in settings at one or more of the first nodes.

Abstract: In general, the disclosure describes various aspects of techniques for evaluating decisions determined by autonomous devices. A device comprising a memory and a processor may be configured to perform the techniques. The memory may store first state data representative of a first observational state detected by an autonomous device, and first action data representative of one or more first actions the autonomous device performs responsive to detecting the first observational state. The processor may execute a computation engine configured to identify, based on the first action data, a first inflection point representative of changing behavior of the autonomous device. The computation engine may further be configured to determine, based on the first inflection point, first explanatory data representative of portions of the first state data on which the autonomous device relied that explain the changing behavior of the autonomous device, and output the first explanatory data.

Abstract: A management system comprises a movement management unit that communicates via a communication device with a plurality of moving bodies including an autonomous moving body provided with an autonomous control unit for moving autonomously, and that manages the movement of the plurality of moving bodies. The movement management unit comprises a priority/subordination determination unit that determines the degree of priority/subordination relating to the respective movements of the plurality of moving bodies on the basis of individual information of the moving bodies.

Abstract: A method for fusing state data via a control unit. State data of a first mobile unit and of an object ascertained via a sensor system of the first mobile unit are received. State data of an object ascertained via a sensor system of a second mobile unit and/or state data of the second mobile unit, transmitted via a communication link from the second mobile unit to the first mobile unit, are received. A node is created in a time-position diagram for each set of received state data of the first mobile unit, the second mobile unit, and the objects. A data optimization of the state data ascertained by the first mobile unit and/or by the second mobile unit is carried out. An optimization problem is created based on the optimized state data ascertained by the first mobile unit and the optimized state data received from the second mobile unit.

Abstract: A marine propulsion system for a marine vessel has a first marine propulsion device coupled to the marine vessel and a second marine propulsion device coupled to the marine vessel. The first marine propulsion device has a first engine controlled by a first electronic control module. The second marine propulsion device has a second engine controlled by a second electronic control module. In response to the first marine propulsion device being keyed ON, the second electronic control module of the second marine propulsion device is turned ON.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: An information processing device includes a controller. The controller is configured to generate, when information related to a request to use a cabin unit is acquired from a terminal of a first user who intends an activity in the cabin unit rather than traveling by the cabin unit, a command for causing a traveling unit to pick up the first user. The traveling unit is connected to and carrying a predetermined cabin unit associated with the activity of the first user. The controller is configured to generate, to the traveling unit connected to the predetermined cabin unit where a predetermined number of the first users or more is riding, a command for placing the predetermined cabin unit at a predetermined location.

Abstract: A work vehicle includes a travelling vehicle body; a work machine mounted on a rear portion of the travelling vehicle body to be capable of being lifted and lowered; a control unit for controlling lifting and lowering of the work machine; and a rear sensor provided on the rear portion of the travelling vehicle body and configured to detect an object present behind the travelling vehicle body. The control unit may be configured to set a regulation height based on a height where the rear sensor detects the work machine while the work machine is lifted and then regulate lifting of the work machine during work in such a manner that a height of the work machine is kept less than or equal to the regulation height.

Abstract: An autonomous moving apparatus includes a moving unit moving the apparatus, a detector detecting distances from surrounding objects and shapes of the objects, and a controller. When a route of the apparatus is adjusted to a route of a follow target under control of the moving unit, the controller controls the moving unit so that the apparatus continues to move without changing the route of the apparatus if the follow target has changed the route but an obstacle having a possibility of causing a movement abnormality when the apparatus moves over the obstacle is present between the route of the follow target and the route of the apparatus. When the obstacle is no longer present between the route of the follow target and the route of the apparatus, the controller controls the moving unit so that the route of the apparatus is adjusted to the route of the follow target.

Abstract: A user interacts with an autonomous mobile device (AMD) using a voice user interface. The voice user interface allows a user to instruct the AMD to move, stop, go to a specified location, and so forth. The commands may include, but are not limited to: stop, stop moving, move, turn, go to, stay here, go away, and so forth. In one implementation, if the AMD is instructed by the user to go away, the AMD may move out of sight of the user from a first region to another region, such as another room. The AMD will avoid traversing the first region until a timer expires or a command to enter the first region is given.

Abstract: A work machine includes a mechanical arm. A work implement is coupled to the mechanical arm to receive a load. A hydraulic actuator moves the arm between a lower position and an upper position, wherein a distance between the lower position and the upper position is a travel distance of the mechanical arm. A sensor unit is configured to sense the load in the work implement. A valve is in fluid communication with the hydraulic actuator for supplying a fluid output to the hydraulic actuator. A controller is in communication with the valve and the sensor unit. The controller is configured to transmit a control signal to the valve to adjust the fluid output to the hydraulic actuator. The controller is also configured to adjust the upper position to reduce the travel distance in response to the load being at or above a threshold value.

Abstract: A work machine includes systems and methods for stability control based on operating values. The work machine includes a control system having a sensor system with a load sensor, an arm position sensor, and an articulation angle sensor. A controller is in communication with the sensor system. The controller is configured to receive a movement command and to receive a set of values from the sensor system. The controller is configured to determine an operational window for normal operation of the work vehicle based on the received set of values, determine a movement limit based on the received set of values, and limit movement of a component beyond the movement limit.

Abstract: A vehicle hitch assistance system includes a first image sensor in connection with a portion of the vehicle and positioned forward of a forward hitch disposed in a cargo bed of the vehicle. The system further includes a controller configured to capture first image data with the first image sensor. The first image data depicts a coupler of a trailer. The controller is further configured to identify a trailer type of the trailer based on the first image data. The trailer type is configured to connect to the forward hitch. The controller is further configured to acquire position data identifying a coupler position of the coupler in the first image data, derive a vehicle path aligning the forward hitch with the coupler, and control a maneuvering system driving the vehicle along the vehicle path.

Abstract: A transport robot may include a wheel driver, a power supply, and a processor. The transport robot may execute artificial intelligence (AI) algorithms and/or machine learning algorithms, and may communicate with other electronic devices in a 5G communication environment. Thus, user convenience can be improved.

Abstract: A shovel according to embodiments of the present invention includes: a lower traveling body; an upper swivel body that is rotatably mounted on the lower traveling body; an attachment that is configured by a boom, an arm, and an end attachment; an engine that is mounted on the upper swivel body; a motor generator that is able to assist the engine; a power storage system that is mounted on the upper swivel body; a swiveling motor that is driven by electric power from the motor generator and the power storage system; temperature detection units; and a control device. The control device switches a control mode in a case where at least one of a temperature relating to the motor generator, a temperature relating to the power storage system, and a temperature relating to the swiveling motor, detected by the temperature detection units, is higher than a predetermined temperature.