Amazon.com

About: Amazon.com is a company organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Service (business) & Service provider. The organization has 13363 authors who have published 17317 publications receiving 266589 citations.

Search of multiple content sources on a user device

Abstract: Search may be performed on a user device (104), such as a handheld electronic reader device. In that case, when a search query is received (6902), a determination (6906) can be made to search one or more available sources of content for the query term. Available sources of content may include at least one local source of content and at least one remote source of content.

Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge

Abstract: Ahstract-The Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. This paper presents the design of our custom-built, cost-effective, Cartesian robot system Cartman, which won first place in the competition finals by stowing 14 (out of 16) and picking all 9 items in 27 minutes, scoring a total of 272 points. We highlight our experience-centred design methodology and key aspects of our system that contributed to our competitiveness. We believe these aspects are crucial to building robust and effective robotic systems.

Eulerian video magnification and analysis

Abstract: The world is filled with important, but visually subtle signals. A person's pulse, the breathing of an infant, the sag and sway of a bridge---these all create visual patterns, which are too difficult to see with the naked eye. We present Eulerian Video Magnification, a computational technique for visualizing subtle color and motion variations in ordinary videos by making the variations larger. It is a microscope for small changes that are hard or impossible for us to see by ourselves. In addition, these small changes can be quantitatively analyzed and used to recover sounds from vibrations in distant objects, characterize material properties, and remotely measure a person's pulse.

Method and apparatus for sensing correct item placement for multi-destination picking

Abstract: Method and apparatus for multi-destination pick using motes. In embodiments, each receptacle may be assigned to a destination and may have a sensor that detects when an item is placed in the receptacle to deactivate the indicator and/or to verify that the item was placed in the correct receptacle. The sensor may be coupled via a wired or wireless connection to a mote that may include a communication interface for communicating with a control system and with other motes in an ad-hoc network. In some embodiments, each mote may also include an indicator that may be activated by a control system to indicate to the agent that the receptacle is the destination receptacle for a picked item. The agent may then place the item in the indicated destination receptacle. In one embodiment, the mote on the destination receptacle may be activated when the picked item is scanned by the agent.

Location aware reminders

Abstract: Disclosed are various embodiments employed to generate location and proximity based reminders. To this end, a device is configured to generate its geographical location using a positioning system. The device detects when it impinges upon at least one geographical trigger based upon its geographical location. A predefined reminder is generated in the device when the device impinges upon the geographical trigger.