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Object Shuffle Ecosystem with Robotics Based on Item Usefulness and Environment Conditions

IP.com Disclosure Number: IPCOM000248645D
Publication Date: 2016-Dec-22
Document File: 2 page(s) / 45K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that determines the likelihood that a person is in need of an object, and then deploys robots to move that object to an accessible area. The multi-objective optimization solution is executed by a team of robots to make items available that are going to be more useful, while responding to environmental factors by moving or securing objects to protected areas.

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Object Shuffle Ecosystem with Robotics Based on Item Usefulness and Environment Conditions

The placement of items is critical for efficient usage and protection from environmental factors. Many times, items that an owner does not use every day are forgotten or just not minded. Many of these items might be in unsheltered or unprotected areas of the household (e.g., porch, patio, yard, etc.). If an unexpected storm occurs, the owner might not be at home to tend to outdoor objects (e.g., grills, garbage cans, furniture, etc.) that might be damaged by the strong weather. It is not always possible move these items to safety. A method is needed that provides an option to secure outdoor items in place or to move the items altogether, while keeping the items accessible to the owner.

The novel contribution is a system that determines the likelihood that a person is in need of an object, and then deploys robots to move that object to an accessible area. The multi-objective optimization solution is executed by a team of robots to make items available that are going to be more useful, while responding to environmental factors by moving or securing objects to protected areas.

The core novelty is the robotic execution of a multi-objective optimization solution that includes item usefulness and safety. This includes precision item discovery and placement around an event as well as recall item discovery and placement around an event. Precision and recall items are mixed together to hedge...