Example illustrations are directed to a suspension system for a vehicle, which includes a controller configured to determine a roughness of a ground surface associated with the vehicle. The controller may be further configured to determine a height adjustment parameter for the suspension system based on the roughness determined, and to facilitate modification of the suspension system based on the determined height adjustment parameter. Example methods are provided, which may include determining, using a controller, a roughness of a ground surface associated with a vehicle, the roughness determined based on ride height. The method may also include determining, using the controller, a height adjustment parameter for a suspension system of the vehicle based on the roughness determined.

A modular mobility base for a modular autonomous bot apparatus transporting an item being shipped including a mobile base platform, a component alignment interface, a mobility controller, a propulsion and steering system, and sensors. The component alignment interface provides an alignment channel into which another modular component can be placed and secured on the platform. The mobility controller generates propulsion control signals for controlling speed of the modular mobility base and steering control signals for navigation of the modular mobility base. The propulsion system is connected to the platform and responsive to the propulsion control signal. The steering system is connected to the mobile base platform and is responsive to the steering control signal to cause changes to directional movement of the modular mobility base. The sensors are disposed on the platform provide feedback sensor data to the mobility controller about a condition of the modular mobility base.

A driving robot device is provided. The driving robot device may include a plurality of suspensions configured to absorb a shock applied by a driving surface on which the driving robot device drives; a first driving part that includes a motor and is configured to adjust a strength of the plurality of suspensions; and at least one processor configured to control the first driving part to adjust the strength of the plurality of suspensions based on driving surface information with respect to a state of driving surface, and based on food information with respect to a state of food carried by the driving robot device.

A crane for lifting and transporting loads includes a base frame for transferring the loads of the crane onto a support surface by a plurality of wheels. The wheels are capable of rotating relative to the base frame so as to change the camber angle of the wheels.

Methods are described that perform a dispatched consumer-to-store return or swap logistics operation for an item being replaced using a modular autonomous bot apparatus assembly and a dispatch server. The method begins with receiving a return operation dispatch command that includes identifier information, transport parameters, and designated pickup information for the item being replaced/returned, along with authentication information related to an authorized supplier of the item being replaced. Modular components of the bot apparatus are verified to be compatible with the dispatched logistics operation. The MAM then autonomously causes the bot apparatus to move to the designated pickup location, notifies the authorized supplier of an approaching pickup, receives supplier authorization input to permissively allow access to a payload area within the bot apparatus, monitors loading as the item being replaced is received along with return documentation, and then autonomously causes movement of the bot apparatus back to the origin location.

Example illustrations are directed to a suspension system for a vehicle, which includes a controller configured to determine a roughness of a ground surface associated with the vehicle. The controller may be further configured to determine a height adjustment parameter for the suspension system based on the roughness determined, and to facilitate modification of the suspension system based on the determined height adjustment parameter. Example methods are provided, which may include determining, using a controller, a roughness of a ground surface associated with a vehicle, the roughness determined based on ride height. The method may also include determining, using the controller, a height adjustment parameter for a suspension system of the vehicle based on the roughness determined.

Systems and methods are disclosed herein for automatically controlling wheel lean in a work vehicle (e.g., a motor grader) comprising a front portion with an axle and a plurality of traction wheels configured to lean at a wheel-lean angle relative thereto. Based on output signals from one or more sensors mounted on the work vehicle, work conditions are detected comprising an actual wheel-lean angle of at least one wheel relative to the axle, an oscillation angle of the axle, and a slope of the terrain. In automatic control operations, wheel lean is automatically directed to a predetermined orientation (e.g., corresponding to a direction of gravity), based at least on detected work conditions. Wheel lean may further be automatically directed based on detected steering inputs for positioning of the traction wheels and a detected articulation angle for positioning of the front portion of the work vehicle relative to the rear portion.

A modular cargo storage system (CSS) is described for use on a base platform of a modular autonomous bot apparatus that transports an item being shipped. The modular CSS includes a set of folding structural walls, an interlocking alignment interface on at least one of the walls, and a modular component power and data transport bus. The walls at least partially enclose a payload area above the base platform. The interlocking alignment interface has a set of latches and a locking handle coupled to the set of latches that actuates the latches to interlock with the base platform. The power and data transport bus have top and bottom side modular component electronics interfaces where each interface has a power conduit outlet and a command and data communication interface.

A machine for road work can comprise a frame, a plurality of ground engaging units, a plurality of vertically moveable legs, each leg connecting one of the plurality of ground engaging units to the frame, a pair of spatial sensors, such as global navigation satellite system (GNSS) sensors, and a controller configured to, in response to a three-dimensional signal received from each of the spatial sensors, activate at least some of the plurality of vertically moveable legs.

Methods are described that perform a dispatched consumer-to-store return or swap logistics operation for an item being replaced using a modular autonomous bot apparatus assembly and a dispatch server. The method begins with receiving a return operation dispatch command that includes identifier information, transport parameters, and designated pickup information for the item being replaced/returned, along with authentication information related to an authorized supplier of the item being replaced. Modular components of the bot apparatus are verified to be compatible with the dispatched logistics operation. The MAM then autonomously causes the bot apparatus to move to the designated pickup location, notifies the authorized supplier of an approaching pickup, receives supplier authorization input to permissively allow access to a payload area within the bot apparatus, monitors loading as the item being replaced is received along with return documentation, and then autonomously causes movement of the bot apparatus back to the origin location.