Abstract: Scores for particular network models (those having a source node connected to a set of measurable downstream nodes via causal edges) are computed across multiple networks by accounting for an overlap between these models in a manner that reduces cross-network redundancy and increases the specificity of the network models for the network in which they are found. According to another aspect, a meta-network model is created for networks by accounting for the occurrence of network models that are found in multiple networks in a manner that reduces the redundancy across networks and that increases the specificity of the network model score. Preferably, this process provides additional weighting factors for each node in the network model.

Abstract: A charging system for autonomous transport vehicles including at least one charging contact disposed on each pick floor level of a storage and retrieval system, each of the at least one charging contact being located at a transfer station, at least one power supply configured to supply power to the at least one charging contact, and a controller in communication with the transfer station and being configured to communicate information relating to a transfer of items between the transfer station and a predetermined one of the autonomous transport vehicles and to apply power from the power supply to the at least one charging contact for charging the predetermined autonomous transport vehicle corresponding to the transfer and located at the transfer station, wherein the controller is configured to supply power to the charging contacts simultaneously with the predetermined autonomous transport vehicle exchanging items related to the transfer at the transfer station.

Abstract: Scores for particular network models (those having a source node connected to a set of measurable downstream nodes via causal edges) are computed across multiple networks by accounting for an overlap between these models in a manner that reduces cross-network redundancy and increases the specificity of the network models for the network in which they are found. According to another aspect, a meta-network model is created for networks by accounting for the occurrence of network models that are found in multiple networks in a manner that reduces the redundancy across networks and that increases the specificity of the network model score. Preferably, this process provides additional weighting factors for each node in the network model.

Abstract: A method to score a causally consistent network is provided by transforming the network into a hypothesis subnetwork, called a “HYP” (if the nodes have associated measurements) or a “meta-HYP” (if the nodes are themselves HYPs), and then applying known HYP scoring methods (e.g. (NPA, GPI, or the like) based on measurements or scores associated with nodes in the subnetwork. A method also is described for creating a HYP or meta-HYP with weights associated with each downstream node from a causally inconsistent network using a computational technique such as sampling of spanning trees. A further aspect is a method to transform a meta-HYP (with or without weights associated with each downstream node) into a HYP using the weights associated with each downstream node (where the weights are based on the scoring algorithms intended at the meta-HYP and HYP levels).

Abstract: A charging system for autonomous transport vehicles including at least one charging contact disposed on each pick floor level of a storage and retrieval system, each of the at least one charging contact being located at a transfer station, at least one power supply configured to supply power to the at least one charging contact, and a controller in communication with the transfer station and being configured to communicate information relating to a transfer of items between the transfer station and a predetermined one of the autonomous transport vehicles and to apply power from the power supply to the at least one charging contact for charging the predetermined autonomous transport vehicle corresponding to the transfer and located at the transfer station, wherein the controller is configured to supply power to the charging contacts simultaneously with the predetermined autonomous transport vehicle exchanging items related to the transfer at the transfer station.

Abstract: A charging system for autonomous transport vehicles including at least one charging contact disposed on each pick floor level of a storage and retrieval system, each of the at least one charging contact being located at a transfer station, at least one power supply configured to supply power to the at least one charging contact, and a controller in communication with the transfer station and being configured to communicate information relating to a transfer of items between the transfer station and a predetermined one of the autonomous transport vehicles and to apply power from the power supply to the at least one charging contact for charging the predetermined autonomous transport vehicle corresponding to the transfer and located at the transfer station, wherein the controller is configured to supply power to the charging contacts simultaneously with the predetermined autonomous transport vehicle exchanging items related to the transfer at the transfer station.