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.

In a self-propelled construction machine comprising a working device (e.g. milling drum) and a profile sensor device arranged in front of the milling drum as seen in the direction of travel, the following features are achieved: the profile sensor device measures ground pavement profile data in at least one first location, wherein at least one second sensor device is provided which, after the construction machine has traversed a section corresponding to the distance between the milling drum and the profile sensor device, measures or otherwise determines, in at least one point associated with the first location, at least one distance value between the ground surface and the milling drum, wherein a machine control system correlates the determined distance value for the at least one point with a corresponding at least one point associated with the measured ground profile data.

A processor-implemented method and system for determining a predictive occupancy grid map (OGM) for an autonomous vehicle are disclosed. The method includes: receiving a set of OGMs including a current predicted OGM and one or more future predicted OGMs, the current OGM associated with a current timestamp and each future predicted OGM associated with a future timestamp; generating a weight map associated with the current timestamp based on one or more kinodynamic parameters of the vehicle at the current time stamp, and one or more weight map associated with a future timestamp; generating a set of filtered predicted OGMs by filtering the current predicted OGM with the weight map associated the current timestamp and filtering each respective future predicted OGM associated with a future timestamp with the weight map associated with the respective future timestamp; and sending a single predicted OGM to a trajectory generator.

A vehicle includes a maintenance-necessity detector and an automatic driving controller. The maintenance-necessity detector is configured to determine whether maintenance of the vehicle is necessary. The automatic driving controller is configured to cause the vehicle to move to a maintenance facility at which the maintenance of the vehicle is to be performed, on the basis of automatic driving that is independent of driving to be performed by an occupant of the vehicle, in a case where the maintenance is determined by the maintenance-necessity detector as being necessary.

Methods, systems, and products for generating an updated map for use with an autonomous vehicle driving operation or a simulation thereof may include obtaining first map data associated with a first map of a geographic location including a roadway, and the first map data may include at least one first lane segment. Second map data associated with a second map of the geographic location may be obtained, and the second map data may include at least one second lane segment. A plurality of non-overlapping areas may be determined based on the first lane segment(s) and the second lane segment(s). A first non-overlapping and/or a first warp point within the first non-overlapping area may be selected. The first lane segment(s) may be warped around the first warp point to increase a total overlapping area based on the based on the second lane segment(s) and the first lane segment(s) after warping.

Systems for managing access to an autonomous vehicle includes an autonomous vehicle including a plurality of storage compartments, wherein each of the plurality of storage compartments comprises a locking mechanism and at least one processor to receive data associated with an item to be positioned in a storage compartment of the plurality of storage compartments, determine that one of the plurality of storage compartments has storage capacity for the item, designate one of the plurality of storage compartments for storage of the item, activate the locking mechanism of the designated storage compartment to lock the designated storage compartment after the item is positioned in the designated storage compartment, and activate the locking mechanism of the designated storage compartment to unlock the designated storage compartment to allow removal of the item from the designated storage compartment. Methods, computer program products, and autonomous vehicles are also disclosed.

An information processing device includes a control unit that determines a travel path of a wheelchair. The control unit determines the travel path of the wheelchair based on information on a step existing on a road surface on which the wheelchair travels and information on a wheel of the wheelchair.

Control zones are identified on a thematic map and work machine actuator settings are identified for each control zone. A position of the work machine is sensed and actuators on the work machine are controlled based on the control zone that the work machine is in, and based upon the actuator settings corresponding to the control zone. The control zone is then divided, on a display, into a harvested portion of the control zone on which an observed condition value is shown, and control zone that has yet to be harvested, on which an estimated value of the condition is shown.

Described herein is a method for setting up and/or reconfiguring an industrial plant, in particular for the manufacture of motor vehicles or sub-assemblies thereof. The method includes providing a plurality of mobile processing stations, each mobile processing station comprising a palletisable platform and at least one interface unit provided on the palletisable platform and configured for the coupling of the mobile processing station with one or more further adjacent mobile processing stations; arranging mobile processing stations according to a pre-set layout; and coupling at least one interface unit of each mobile processing station with the at least one interface unit of one or more further mobile processing adjacent stations thereto. Each interface unit includes at least one of the following: an electrical and/or electronic coupling device; a fluidic coupling device; and a mechanical coupling device.

A vehicle control apparatus controls movement of a vehicle in a lateral direction intersecting a direction in which the vehicle travels based on a movement trajectory of a preceding vehicle. The vehicle control apparatus includes a detection unit configured to detect a surrounding environment of the vehicle, and a preceding vehicle which travels ahead in the same lane in which the vehicle travels, a determination unit configured to determine whether or not the preceding vehicle straddles lanes or approaches within a set distance predetermined for the lanes based on lateral movement information of the preceding vehicle detected by the detection unit, and a control unit configured to control lateral movement of the vehicle based on a determination result of the determination unit and detection information of the detection unit.