Ebay, Incorporated

Aeolus Robotics Corporation Limited

Gaurav Rekhi

Joe Augenbraun

Joseph Ellis Augenbraun

Shilpa Parekh

Brian Gontowski

In an example embodiment, bid specifications for an ecommerce transaction are transmitted from a party requesting bids to a plurality of bidders. Then a modification to the bid specifications is received from a first bidder of the plurality of bidders along with a bid in accordance with the modified bid specifications. The modified bid specifications may then be transmitted to the plurality of bidders other than the first bidder. Bids in accordance with the modified bid specifications are then received from each of the plurality of bidders other than the first bidder. One of the bids may be selected, and the ecommerce transaction may be consummated based on the selected bid.

Bi-directional project information updates in multi-party bidding

An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

Robotic touch perception

Robotic Touch Perception

In an example embodiment, a first set of estimated locations for calibration points in a roof is identified in a first satellite image, the first satellite image having a first zoom level and a first angle relative to ground. Then a second set of estimate locations for the calibration points is identified in a second satellite image, the second satellite image having a second zoom level and a second angle relative to ground. Actual locations for the calibration points are derived using the first and second sets of estimated locations, the first and second zoom levels, and the first and second angles. Then dimension information is calculated for the roof based on the derived actual locations for the calibration points.

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San Jose, CA, United States of America

Gaurav Rekhi