Abstract: A method for determining a step path involves obtaining a reference step path for a robot with at least three feet. The reference step path includes a set of spatial points on a surface that define respective target touchdown locations for the at least three feet. The method also involves receiving a state of the robot. The method further involves generating a reference capture point trajectory based on the reference step path. Additionally, the method involves obtaining at least two potential step paths and a corresponding capture point trajectory. Further, the method involves selecting a particular step path of the at least two potential step paths based on a relationship between the at least two potential step paths, the potential capture point trajectory, the reference step path, and the reference capture point trajectory. The method additionally involves instructing the robot to begin stepping in accordance with the particular step path.

Abstract: A method for estimating an accident risk of an autonomous driving unit produces helpful results with fewer autonomous driving cycles. From driving values, which have been determined from monitoring at least one driving parameter of the driving unit during autonomous driving, an autonomous-driving quantity is determined quantifying an autonomous-driving quality of the driving of the driving unit. The autonomous-driving quantity is associated with a plurality of manual-driving quantities, which have been determined from the same driving parameter during manual driving periods of different driving units. An autonomous-driving accident rate value is determined from accident rate values associated to those manual-driving quantities.

Abstract: An in-vehicle apparatus mounted in a vehicle includes: a map information storage unit that stores map information; a communication control unit that acquires traffic information; a travel history database in which a travel history of the vehicle with respect to each road is recorded; a route estimation unit that estimates a travel route of the vehicle by using the map information and the travel history database; a traveling time calculation unit that calculates actual traveling time of the vehicle with respect to the travel route and calculates predicted traveling time required when traveling the travel route estimated by the route estimation unit by using the traffic information; and a display control unit that performs control to display a map screen indicating the travel route and display the actual traveling time and the predicted traveling time together with the map screen.

Abstract: An object of the present invention is to grip a bag-shaped object in which a fluid is sealed with stability in a gripping system having a hand mechanism. A tip end portion of a press-in finger portion of the hand mechanism is brought into contact with the bag-shaped object and pressed into the bag-shaped object, and subsequently, when the pressure detected by a pressure detection unit provided on the single press-in finger portion or the pressure detected by any one of the pressure detection units provided respectively on the press-in finger portions reaches or exceeds a predetermined pressure, a gripping operation, which is an operation for gripping the bag-shaped object using at least two finger portions among the plurality of finger portions of the hand mechanism, is executed in a state where the press-in finger portion is pressed into the bag-shaped object.

Abstract: An information processing apparatus that obtains, with high accuracy, the gripping position for gripping the target object by a gripping apparatus is provided. The information processing apparatus includes an image acquisition unit that acquires a captured image obtained by capturing an image of the target object, an image feature detection unit that detects a plurality of image features in the captured image, and a unit detection unit that detects a unit of a pattern in which a plurality of image features repeatedly appear. In addition, the information processing apparatus further includes a snipping position determining unit that determines a gripping position using the unit detected by the unit detection unit.

Abstract: Provided herein is a system and method for implementing one or more strategies in response to a condition inside a vehicle. The system comprises a sensor to capture data, one or more processors, and a memory storing instructions that cause the one or more processors to detect, based on the data, a condition in the vehicle, determine a level of severity of the condition, and determine one or more strategies in response to a determined level of severity of the condition. The system further implements the one or more strategies to resolve the condition.

Abstract: A cleaning robot includes a chassis, a drive system connected to the chassis and configured to drive the robot, a signal generator and sensor carried by the chassis, and a controller in communication with the drive system and the sensor. The signal generator directs a signal toward the floor surface. The sensor is responsive to reflected signals from the floor surface. The controller controls the drive system to alter direction of the robot responsive to a reflected signal indicating an edge of the floor surface.

Abstract: A vehicle transport apparatus is formed by a first robot and a second robot that enter underneath a vehicle, lift up wheels of the vehicle, and travel. The first robot and the second robot each include omnidirectional wheels and each further include a right lifting arm and a left lifting arm that are freely rotatably movable between storage positions (right storage position and left storage position) where tips thereof are pointed toward a center of a body in a width direction and expanded positions (right expanded position and left expanded position) where the tips thereof are pointed toward the outside of the body in the width direction.

Abstract: A dual path agricultural machine including a control system having a number of input sensors, status sensors, and output sensors, and a controller configured to operate the dual path machine in a stability control mode and a selective rear-steer engagement and actuation mode. In the stability control mode, the controller adjusts an actual drive output of the dual path machine according to data received from the input sensors and feedback received from the output sensors so as to reduce a difference between the actual drive output and a desired drive output. In selective rear-steer engagement and actuation mode, the controller engages rear-steer mechanisms with caster wheels of the dual path machine and actuates the caster wheels via the rear-steer mechanisms if a criterion is satisfied. The controller disengages the rear-steer mechanisms from the caster wheels or does not actuate the caster wheels if the criterion is not satisfied.

Abstract: A personal mobility vehicle comprising a control unit for controlling a steering function of the vehicle, wherein the control unit is adapted to receive route information from a personal smart device and to control the vehicle at least semi-autonomously based on the route information.

Abstract: A mobile communication device to provide tuning assistance for a motorcycle. The mobile communication device includes a plurality of sensing devices and a processor. The processor controls the plurality of sensing devices to capture a first signal over a period of time based on a trigger input. The first signal corresponds to at least one component of the motorcycle in a first operational state of the motorcycle. The processor further detects a deviation between one or more parameters of the captured first signal and baseline information corresponding to the first operational state of the motorcycle. The baseline information indicates a range of baseline values. The processor further output tuning information based on a determination that the detected deviation is out of the range of baseline values.

Abstract: Systems, methods and unmanned agents for collaboratively controlling agents in a collaborative network by one or more agents continuously simulating numeric models of one or more other agents in the network to dramatically reduce the computational bandwidth required between agents, and improve the quality of shared estimates of the agent locations as well as the locations and characteristics of other objects of interest, e.g. targets. Bandwidth is reduced by using the models to intelligently filter data before communicating.

Abstract: A driving evaluation apparatus includes a processor configured to determine, based on information about facial expressions or behaviors of one or more passengers riding in a vehicle that is under automatic driving control, whether or not the passenger has displayed a facial expression or behavior indicating a specific feeling, and estimate ride comfort of the vehicle felt by the passenger in accordance with a determination result; and evaluate the driving of the vehicle that is under the automatic driving control, based on an estimation result of the ride comfort.

Abstract: An autonomous parking apparatus includes: a detector that detects a space around a vehicle, and a processor that performs autonomous parking by generating local map data based on spatial information obtained through the detector and detecting an available parking space based on the local map data.

Abstract: A vehicle display device calculates a travel distance limit of an own vehicle, based on an energy remaining amount of the own vehicle; calculates a degree of scattering being a numerical value indicating a degree of remoteness between a farthest supply facility farthest from the own vehicle, and other supply facilities present within a predetermined distance from the farthest supply facility; calculates a travelable distance being a distance by which the own vehicle is able to travel, based on the travel distance limit and the degree of scattering; and causes the display to display the calculated travelable distance. In the processing of calculating the travelable distance, the travelable distance is decreased, as the degree of scattering increases.

Abstract: A legged robot may seek to operate according to a target gait. The legged robot may include leg members and leg joints. Possibly based on the target gait and state of the legged robot, an ordered list of gait controllers may be obtained. The gait controllers in the ordered list may define respective gaits of the legged robot, and may include respective validity checks and output parameters for the respective gaits. The ordered list may begin with a target gait controller that defines the target gait. The ordered list may be traversed in order from the target gait controller until a validity check associated with a particular gait controller passes. The legged robot may be instructed to actuate the leg members and/or leg joints according to output parameters of the particular gait controller.

Abstract: A hydraulic motor vehicle brake system comprises a vehicle dynamic control system which comprises a first brake circuit which acts on at least one first wheel brake, and a second brake circuit which acts on at least one second wheel brake, the first brake circuit comprising a first hydraulic pressure generator and the second brake circuit comprising a second hydraulic pressure generator, which can be actuated electrically for control interventions. Furthermore, the hydraulic motor vehicle brake system comprises an electrically actuable third hydraulic pressure generator, and a controller which is configured to detect failure of at least one of the two brake circuits and a requirement of a control intervention on the at least one brake circuit, to actuate at least the third hydraulic pressure generator for assisting the control intervention.

Abstract: A corpus curation method, system, and non-transitory computer readable medium, include mapping a kinematic motion of a robot to a granular feature of an item in the corpus and answering a user question using the mapped kinematic motion embedded in an answer by the robot.

Abstract: Driving control systems and methods include a first vehicle having one or more processors programmed to receive an individual driving behavior model specific to a driver of a second vehicle proximate the first vehicle. The individual driving behavior model is based on historical driving behavior of the driver of the second vehicle. The one or more processors are programmed to identify a motion plan for the first vehicle based on the individual driving behavior model specific to the driver of the second vehicle, and to control movement of the first vehicle according to the identified motion plan.

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, road features of an upcoming road based on at least one of sensor data and map data; computing, by the processor, a required viewing angle of a sensor based on the road features; computing, by the processor, an operational envelope based on the required viewing angle and a sensor profile, wherein the operational envelope includes points along a map where the sensor can sense; and generating a control signal to disable autonomous control of the vehicle based on the operational envelope.