Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

Abstract: In one example, a computing device includes at least one processor configured to output for display, a graphical keyboard. The at least one processor may also be configured to model, in a first lattice, a plurality of candidate character strings that include symbols of a first alphabet. The first lattice may indicate spatial probabilities of the plurality of candidate character strings. The at least one processor may be configured to determine, using a second lattice that indicates probabilities of one or more words of a second language based at least in part on the spatial probabilities of the plurality of candidate character strings, a probability that the at least one of the plurality of candidate character strings corresponds to at least one word included in the second language. The at least one processor may be configured to output for display, the one or more symbols representing at least one word.

Abstract: A computer-implemented method can include receiving an input from a user. The input can include one or more characters in a first script representative of text in a particular language. The input can be received in association with a document. The method can include determining a context of the input based on one or more semantic topics of the document associated with the input. One or more candidates for the input can be determined based on (i) the input, (ii) the context of the input, and (iii) a language model. The candidates can include one or more characters in a second script representative of the text in the particular language. The language model can express a probability of occurrence of the one or more candidates in the particular language. The method can further include outputting a list of the one or more candidates for display to the user.

Abstract: In one example, a computing device includes at least one processor configured to output for display, a graphical keyboard. The at least one processor may also be configured to model, in a first lattice, a plurality of candidate character strings that include symbols of a first alphabet. The first lattice may indicate spatial probabilities of the plurality of candidate character strings. The at least one processor may be configured to determine, using a second lattice that indicates probabilities of one or more words of a second language based at least in part on the spatial probabilities of the plurality of candidate character strings, a probability that the at least one of the plurality of candidate character strings corresponds to at least one word included in the second language. The at least one processor may be configured to output for display, the one or more symbols representing at least one word.

Abstract: The disclosed subject matter provides a system and method for responding to messages related to multilingual input from different operating systems. A central hub component executing on a processor manages communication between connected components, such as computer applications and different processes. An input message may be analyzed by the processor to determine a type of input device. A combination of rule sets may be applied to the input message sets. The first and second rule sets may be selected based on the analysis. The first and second rule sets may be applied to the input message. A probable output message may be generated from the application of each of the rule sets in the combination of rule sets, and forwarded for delivery to an output device.