Extensible networked multi-modal environment conditioning system
First Claim
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1. A self-organizing environment conditioning system providing localized and targeted climate conditioning with adaptive learning behaviors, comprising:
- a plurality of robotic targeting platforms;
a plurality of effectors configured to effect climate conditions within an environment, the effectors movable with the robotic targeting platforms;
a plurality of controllers configured to self-organize the locations of the plurality of robotic targeting platforms to enhance functionality through the sharing of information directly between each of the plurality of controllers using at least one of sensor data, functional capabilities, user preferences, location, and mapping of the plurality of robotic targeting platforms, the plurality of effectors, and the plurality of controllers to move at least one of the plurality of the robotic targeting platforms towards an animate object and control at least one of the plurality of effectors to focus climate conditioning towards the animate object only at a desired point of need.
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Abstract
A distributed, self-organizing environment conditioning system with adaptive and learning behaviors that provide localized and targeted climate conditioning such as, but not limited to, temperature and humidity control in indoor and outdoor settings and more particularly, to extensible networked multi-modal autonomous systems of heating units working together to efficiently target objects for selective environmental control.
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Citations
14 Claims
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1. A self-organizing environment conditioning system providing localized and targeted climate conditioning with adaptive learning behaviors, comprising:
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a plurality of robotic targeting platforms; a plurality of effectors configured to effect climate conditions within an environment, the effectors movable with the robotic targeting platforms; a plurality of controllers configured to self-organize the locations of the plurality of robotic targeting platforms to enhance functionality through the sharing of information directly between each of the plurality of controllers using at least one of sensor data, functional capabilities, user preferences, location, and mapping of the plurality of robotic targeting platforms, the plurality of effectors, and the plurality of controllers to move at least one of the plurality of the robotic targeting platforms towards an animate object and control at least one of the plurality of effectors to focus climate conditioning towards the animate object only at a desired point of need. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification