A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine an eccentricity map based on video image data and determine vehicle motion data by processing the eccentricity map and two red, green, blue (RGB) video images with a deep neural network trained to output vehicle motion data in global coordinates. The instructions can further include instructions to operate a vehicle based on the vehicle motion data.

An example implementation for determining mechanically-timed footsteps may involve a robot having a first foot in contact with a ground surface and a second foot not in contact with the ground surface. The robot may determine a position of its center of mass and center of mass velocity, and based on these, determine a capture point for the robot. The robot may also determine a threshold position for the capture point, where the threshold position is based on a target trajectory for the capture point after the second foot contacts the ground surface. The robot may determine that the capture point has reached this threshold position and based on this determination, and cause the second foot to contact the ground surface.

Communication with a user is more naturally and effectively realized. An information processing apparatus includes an autonomous mobile body (10) that travels while maintaining an inverted state, and an operation control unit (230) that controls an operation of the autonomous mobile body. The autonomous mobile body includes a main body (10), two wheels (570) mounted on the main body, and a drive mechanism (565) that drives the two wheels. The operation control unit controls the drive mechanism to maintain the inverted state of the autonomous mobile body by the two wheels in a first state, and make the autonomous mobile body come to rest by the two wheels and a bottom of the main body when the autonomous mobile body transfers from the first state to a second state.

A mobile object management device that manages a boarding-type mobile object that moves within a predetermined area with a user on board includes an acquirer configured to acquire positional information of the boarding-type mobile object, a manager configured to manage the boarding-type mobile object and a terminal device of a user on the boarding-type mobile object in association with each other, and an event operation commander configured to cause the boarding-type mobile object to execute a predetermined operation in accordance with an event performed in the predetermined area via the terminal device of the user on the basis of the positional information and information on the event.

Steering is used to augment the CMG-based balance control of a two-wheeled vehicle, e.g., a bicycle, electric bicycle (“ebike”), scooter, electric scooter, moped, or motorcycle. A control architecture enables a two wheeled vehicle with simultaneously or alternating mechatronic attitude control systems to balance autonomously at rest or while dynamically driven with mechatronic command.

The present disclosure relates to a method and a device for safety driving. The method includes: acquiring riding data of a current user of a self-balancing vehicle; comparing the acquired riding data with riding data corresponding to a plurality of preset user levels; and determining a user level of the current user of the self-balancing vehicle according to a result of the comparing. The riding data includes one or more of the following data: a riding time, a riding distance, a shaking frequency, a shaking arc magnitude, and a shaking time.

A control method is for a mobile object that automatically moves. The control method includes: acquiring positional information on a transport vehicle parked in a parking region including information on a position of a rear end portion of the transport vehicle, information on an attitude of the transport vehicle, and information on a length of the transport vehicle; setting a first path toward the transport vehicle based on the positional information on the transport vehicle; and causing the mobile object to move along the first path.

A ball-balancing robot is capable of accurately controlling its posture when a robot main body is rotated about the vertical axis in a yaw direction in a state in which the robot main body is positioned on a spherical object in a posture in which a gravity center of the robot main body matches a vertical axis passing a center of the spherical object, and in a state in which a base axis of the roll-direction angular velocity sensor is inclined with respect to the horizon in a pitch direction (at an inclination angle θ.sub.P), the robot main body is able to rotate while maintaining a predetermined posture by making correction to cancel a detection error in the angular velocity in the roll direction generated based on the inclination of the base axis of the roll-direction angular velocity sensor.

Provided is an inverted pendulum vehicle including a display unit for providing a guide on an operation for putting the vehicle body into the tilted position from the upright position or into the upright position from the tilted position according to a state of the vehicle. In particular, the display unit indicates a direction in which the vehicle body is required to be moved when placing the vehicle body from the tilted position to the upright position and from the upright position to the tilted position.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.