Carriage for guided autonomous locomotion
AssigneeGlüxKind Technologies Inc.
InventorsAnne Hunger, Zi Wen Huang, Check Hay Janson Chan, Anderson Jia Lin Kwan
Life of this patent
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Abstract
In an aspect, a carriage for guided autonomous locomotion may include a computing device configured to produce a safety perimeter, wherein producing further comprises receiving at least an environmental input as a function of an environmental sensor, and producing the safety perimeter as a function of the environmental input, outline at least a corrective action as a function of the safety perimeter, wherein outlining further comprises determining a required force, and outlining the at least a corrective action as a function of the safety perimeter and required force using a corrective machine-learning model, and initiate the at least a corrective action.
Claims18
A carriage for guided autonomous locomotion, the carriage comprising:
- a handle bar comprising a rear camera configured to detect an individual;
- a computing device configured to:
- identify an authorized individual using the rear camera;
- detect an unauthorized individual;
- obtain a locking signal as a function of a compartment configured to ensconce a child;
- produce a safety perimeter, wherein producing the safety perimeter further comprises:
- generating at least an environmental input using an environmental sensor;
- and
- producing the safety perimeter as a function of the at least an environmental input;
- determine an assistance element, wherein the assistance element comprises one or more external forces acting on the carriage, and wherein determining the assistance element comprises:
- identifying a control limiter;
- and
- determining the assistance element as a function of the control limiter;
- outline at least a corrective action, comprising a first response and a second response the computing device performs, as a function of the safety perimeter and assistance element, wherein outlining the at least a corrective action further comprises:
- determining a required force as a function of the assistance element;
- and
- outlining the first response as a function of the safety perimeter and the second response as a function of the required force using a control machine-learning model;
- and
- initiate the at least a corrective action as a function of the detected unauthorized individual wherein the at least a corrective action comprises transmission of a notification to a user device that the detected unauthorized individual has entered the safety perimeter.
A method of use of a carriage for guided autonomous locomotion, wherein the method comprises:
- identifying, using a computing device communicatively connected to a rear camera, an authorized individual;
- detecting, using the computing device, an unauthorized user;
- obtaining, using the computing device, a locking signal as a function of a compartment configured to ensconce a child;
- producing, using the computing device, a safety perimeter, wherein producing the safety perimeter further comprises:
- generating, using the computing device, at least an environmental input using an environmental sensor;
- and
- producing, using the computing device, the safety perimeter as a function of the at least an environmental input;
- determining, using the computing device, an assistance element, wherein the assistance element comprises one or more external forces acting on the carriage, and wherein determining the assistance element further comprises:
- identifying, using the computing device, a control limiter;
- and
- determining, using the computing device, the assistance element as a function of the control limiter;
- outlining, using the computing device, at least a corrective action, comprising a first response and a second response the computing device performs, as a function of the safety perimeter and the assistance element, wherein outlining the at least a corrective action further comprises:
- determining, using the computing device, a required force as a function of the assistance element;
- and
- outlining, using the computing device, the first response as a function of the safety perimeter and the second response as a function of the required force using a control machine-learning model;
- and
- initiating, using the computing device, the at least a corrective action as a function of the detected unauthorized individual wherein the at least a corrective action comprises transmission of a notification to a user device that the detected unauthorized individual has entered the safety perimeter.
Dependencies are inferred from the claim text.