A robotic system is disclosed. The system includes a memory configured to store for each of a plurality of items a set of attribute values representing one or more physical attributes of the item. The system includes one or more processors coupled to the communication interface and configured to use the attribute values as inputs to a physic engine configured to compute the stability of a simulated stack of items comprising at least a subset of the plurality of items.

A robotic system is disclosed. The system includes a memory that stores a machine learning-based model to provide a scoring function value for a candidate item placement on a pallet on which are plurality of items are to be stacked given a current state value of the pallet and a set of zero or more items placed previously. The system includes one or more processors that use the model to determine a corresponding score for each of a plurality of candidate placements for a next item to be placed and the current state value associated with the current state of the pallet and a set of zero or more items placed previously, select a selected placement based at least in part on the respective scores, control a robotic arm to place the next item according to the selected placement.

A robotic system is disclosed. The system includes a communication interface configured to receive, from one or more sensors deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that use a geometric model based at least in part on past item placements in combination with the sensor data to estimate a state of the pallet or other receptacle and one or more items stacked on or in the pallet or other receptacle, and use the estimated state to generate or update a plan to control a robotic arm to place a next item on or in, or remove a next item from, the pallet or other receptacle in a manner that avoids having the next item collide with any other item stacked on or in the pallet or other receptacle.

A robotic system is disclosed. The system includes a communication interface that receives, from a sensor(s) deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that control a robotic arm to place a first set of items on or in, or remove the first set of items from, the pallet or other receptacle, update a geometric model based on the first set of items placed on or in a receptacle, use the geometric model in combination with the sensor data to estimate a stack of one or more items on or in the receptacle, and use the estimated state to generate or update a plan to control the robotic arm to place a second set of items.

A robotic system is disclosed. The system includes a communication interface that receives, from a sensor(s) deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that control a robotic arm to place a first set of items on or in, or remove the first set of items from, the pallet or other receptacle, update a geometric model based on the first set of items placed on or in a receptacle, use the geometric model in combination with the sensor data to estimate a stack of one or more items on or in the receptacle, and use the estimated state to generate or update a plan to control the robotic arm to place a second set of items.

A robotic system is disclosed. The system includes a memory that stores for each of a plurality of items a set of attribute values. The system includes a processor(s) that uses the attribute values to simulate the placement of items, including by determining, iteratively, for each next item a placement location at which to place the item on a simulated stack of items on the pallet, using the attribute values and a geometric model of where items have been simulated to have been placed to estimate a state of the stack after each of a subset of simulated placements, and using the estimated state to inform a next placement decision. The steps of determining for each next item a placement location and estimating the state of the stack until all of at least a subset of the plurality of items have been simulated as having been placed on the stack.

A robotic system is disclosed. The system includes a memory that stores for each of a plurality of items a set of attribute values. The system includes a processor(s) that uses the attribute values to simulate the placement of items, including by determining, iteratively, for each next item a placement location at which to place the item on a simulated stack of items on the pallet, using the attribute values and a geometric model of where items have been simulated to have been placed to estimate a state of the stack after each of a subset of simulated placements, and using the estimated state to inform a next placement decision. The steps of determining for each next item a placement location and estimating the state of the stack until all of at least a subset of the plurality of items have been simulated as having been placed on the stack.

A transport vehicle (2) that travels along a container shelf (1) is provided with a plurality of levels of shelf portions (11) arranged in a vertical direction (Z) and configured to support containers (W), thereby transporting the containers (W). The transport vehicle (2) is provided with a support region where a container (W) is supported, a first transfer apparatus (23) that inserts/takes the container (W) into/out of the container shelf (1), and a second transfer apparatus (24) that loads/unloads the container (W) on/from the support region. The second transfer apparatus (24) is configured such that a container (W) can be moved to the support region so as to allow a plurality of the containers (W) to be supported in a stacked state in the support region.

A transport vehicle (2) that travels along a container shelf (1) is provided with a plurality of levels of shelf portions (11) arranged in a vertical direction (Z) and configured to support containers (W), thereby transporting the containers (W). The transport vehicle (2) is provided with a support region where a container (W) is supported, a first transfer apparatus (23) that inserts/takes the container (W) into/out of the container shelf (1), and a second transfer apparatus (24) that loads/unloads the container (W) on/from the support region. The second transfer apparatus (24) is configured such that a container (W) can be moved to the support region so as to allow a plurality of the containers (W) to be supported in a stacked state in the support region.

The location detection unit detects a destination location for delivery of an item by a drone. The release determination unit determines whether the drone transporting the item can release and place the item at the destination. Upon determination that the release and placement is not possible, a standby airspace determination unit determines a standby airspace within which the drone waits. The wait-time determination unit determines a wait-time for the drone in the determined standby airspace. The wait-time determination unit determines a wait-time by which the drone can arrive at a next destination by a scheduled arrival time following departure of the drone departs after standby. The standby instruction unit issues to the drone an instruction related to the standby.