Amazon Technologies, Inc.

Sridhar Sampath

Joseph Spencer King

Nikunj Aggarwal

Robert Wayne Roth

Wainwright Gregory Siady Yu

Manigandan Natarajan

Ramya Dass

Brandon LaBranche Watson

Joon Hao Chuah

Gregory Nicholas Hullender

James Joseph Poulin

Santosh Kumar Asokan

Siddharth Gupta

Adam Barry Fineberg

Venkatesh Kancharla

Satishkumar Kothandapani Shanmugasundaram

Mohammad A Kanso

Mohammed Kanso

Rakesh Varadarajan

Soundararajan Thangaraj

A robot operates using electrical power. The robot is able to autonomously return to a dock to recharge its batteries. The robot may perform a variety of tasks that consume electrical power, such as performing video calls, presenting audio or video content, acting as a sentry, and so forth. Usage of the robot is analyzed to predict tasks that a user is likely to request. This information is used along with information about previously scheduled tasks and system tasks to create a list of tasks to be performed and when to perform those tasks. The tasks to be performed are calculated to maximize availability of the robot to the user while minimizing charge/discharge cycles, minimizing the extent of the charge/discharge, and minimizing the use of rapid charging. As a result, the lifespan of the batteries may be increased.

Dynamic scheduling of tasks and charging of an autonomous mobile device

A processor configured to reduce the amount of time necessary for a mobile device to resume from a hibernation state is described. While in the hibernation state, power to all components of a mobile, except a motion sensor, may be powered off. The processor, upon receiving a signal from a wakeup sensor, causes the mobile device to initiate a transition from the hibernation mode to an awake mode. A validation sensor on the mobile device detects a user contact with the mobile device or user proximity with respect to the mobile device. Upon receiving a validation signal confirming validation of the transition from the hibernation state to the awake state, the processor resumes the transition to the awake mode. In the awake mode the mobile device may detect user input indicative of activating the mobile device. Upon receiving a signal indicating user input to activate the device, the processor may cause the device to become fully active, and ready for user interaction.

Wakeup from hibernation state using motion sensor

Systems, methods, and computer-readable media are disclosed for pre-rendering content in one or more secondary content buffers to reduce the amount of time required to display the pre-rendered content on a device. The pre-rendered content may be associated with a high probability of being accessed subsequent to content currently being displayed on the device, and may be identified based on the currently displayed content and/or historical device usage data.

Predictive pre-rendering of content and updating of pre-rendered content prior to display

Techniques are provided for selectively and dynamically determining one or more words of an electronic book to present with comprehension guides. For instance, an electronic device rendering an electronic book may determine whether to display some, all, or no words of the book with comprehension guides for words within the electronic book based on word difficulty, contextual importance or aspects of the user. Techniques are also provided for determining the content of comprehension guides to be presented with the words.

Selective display of comprehension guides

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Chennai, India

Sridhar Sampath