Symbotic LLC

Symbolic LLC

Other

Selventa, Inc.

Philip Morris Products S.a.

Dmitry Vasilyev

Robert P Sullivan

Ty Matthew Thomson

Florian Martin

David Drubin

Brian Frushour

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.

Method for autonomous transport vehicle charging system and warehouse storage and retrieval system including the autonomous transport vehicle charging system

Autonomous transport vehicle charging system

Disclosed herein are system, method, and computer program product embodiments for determining a score for a degree of activation of a biological network. An embodiment constructs a tree graph comprising a root node and a set of child nodes. The root node represents a biological network having a reference node and causal connections among a set of nodes that represent biological entities, biological processes, or other biological networks. Each child node represents a particular node in the biological network and is connected to the root node by a signed, directed edge pointing from the root node to that child node. Each child node also has an associated weight based on one or more paths connecting the child node to the reference node in the biological network. The embodiment further scores the tree graph based on scores assigned to the child nodes and the signs of the singed, directed edges.

Quantitative assessment of biological impact by scoring directed tree graphs of causally inconsistent biological networks

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.

Quantitative assessment of biological impact using overlap methods

Growing community of inventors

Somerville, MA, United States of America

Dmitry Vasilyev