Bose Corporation

Amazon Technologies, Inc.

Ilissa Brooke Bruser

Maya Antara Mukhopadhaya

Naganagouda B Patil

Matthew Christopher Smith

DonPaul Nogueira

Erich Andrew Wiernasz

Jason Robinson

Todd Richard Reily

Andrew D Dominijanni

Pelham Norville

Thomas David Chambers

Daniel Winchell Tellier

Eric E Dolecki

Shaun Fisher

Amanda V Wozniak

Martin Jouvenot

Mikkel Lunding

Kama Gabriela Kaczmarczyk

Chloe Elizabeth Blanchard

Denis Mathieu Lirette

Tian Hung Lim

Ramiz Kamal Khan

Robert Timothy Bettridge

Lindsey Turner

Carrie Ann Olson

Andrew Porter Hlynsky

Maura Elston Cass

Techniques for allocating resources in an item handling environment are described. In an example, a computer system determines that an item is to be transferred at an item handling station to or from a stowage unit. The computer system determines data associated with transferring the item. The data indicates at least one of: an item type, a sequence of transferring items to or from the stowage unit, capability at the item handling station associated with handling the item type, an ergonomic parameter associated with the handling, a configuration of the stowage unit, an allocation of one or more resources to handle items, or a schedule of the allocation. The computer system generates, by using the data as input to an artificial intelligence model, a set of instructions indicating an allocation of a resource to the item handling station for the transferring of the item and a timing of the allocation.

Machine learning approach for resource allocation for item handling

Methods and apparatus are provided for an open ear audio device outputting audio using an external audio speaker, bone conduction speaker, or both an external audio speaker and bone conduction speaker. In an aspect, sound is output using either the audio speaker or the bone conduction speaker based on the type of sound. Audio the user desires to keep private are configured to be output using the bone conduction speaker. In an aspect, the audio device simultaneously outputs a first sound using the audio speaker and a second sound using the bone conduction speaker. The user receives both streams of audio and selects which sound to focus on. In an aspect, the audio device determines how to output audio based on the SPL of the user's environment.

Open ear audio device with bone conduction speaker

Various implementations include approaches for training a surface detection classifier and detecting characteristics of a surface, along with related micromobility vehicles. Certain implementations include a method including: comparing: i) detected movement of a micromobility (MM) vehicle or a device located with a user at the MM vehicle while operating the MM vehicle, with ii) a surface detection classifier for the MM vehicle; and in response to detecting that the MM vehicle is traveling on a restricted surface type for a threshold period, performing at least one of: a) notifying an operator of the MM vehicle about the travel on the restricted surface type, b) outputting a warning at an interface connected with the MM vehicle or the device, c) limiting a speed of the MM vehicle, or d) disabling operation of the MM vehicle.

Surface detection for micromobility vehicles

Various implementations include audio devices and related computer-implemented methods for controlling playback of augmented reality (AR) audio. Certain implementations include approaches for managing audio notifications at an audio device according to a set of audio notification rules, for example, by delaying release of notifications and/or de-prioritizing notifications based upon the rules.

Multi-application control of augmented reality audio

Various implementations include audio devices and related computer-implemented methods for controlling playback of augmented reality (AR) audio. In some cases, a method includes: receiving a first audio notification from one of a set of applications; determining an importance value for the first audio notification; detecting an activity state of the audio device, the activity state assigned to a notification importance threshold; and either: delaying release of the first audio notification at the audio device in response to the importance value failing to meet the notification importance threshold, or releasing the first audio notification at the audio device in response to the importance value meeting or exceeding the notification importance threshold.

Multi-application augmented reality audio with contextually aware notifications

Various implementations include wearable audio devices and related methods for controlling such devices. In some particular implementations, a computer-implemented method of controlling a wearable audio device configured to provide an audio output includes: receiving data indicating the wearable audio device is proximate a geographic location associated with a localized audio message; providing a prompt to initiate playback of the localized audio message to a user of the wearable audio device; and initiating playback of the localized audio message at the wearable audio device in response to actuation of the prompt by the user.

Location-based personal audio

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Framingham, MA, United States of America

Ilissa Brooke Bruser