Diligent Robotics, Inc.

Vivian Yaw-Wen Chu

Andrea Lockerd Thomaz

Shuai Li

Peter Worsnop

Forrest Green

Anjana Nellithimaru

Lauren Hutson

Reymundo Gutierrez

Frank Mathis

Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to execute skills and/or behaviors using cached trajectories or plans. In some embodiments, the processor can be configured to execute skills requiring navigation and manipulation behaviors.

Systems, apparatuses, and methods for robotic learning and execution of skills including navigation and manipulation functions

Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor can be operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor can be configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor can be configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor can be configured to learn an environmental constraint. In some embodiments, the processor can be configured to learn using a general model of a skill.

Systems, apparatus, and methods for robotic learning and execution of skills

Systems, apparatus, and methods are described for robotic learning and execution of skills. A robotic apparatus can include a memory, a processor, sensors, and one or more movable components (e.g., a manipulating element and/or a transport element). The processor is operatively coupled to the memory, the movable elements, and the sensors, and configured to obtain information of an environment, including one or more objects located within the environment. In some embodiments, the processor is configured to learn skills through demonstration, exploration, user inputs, etc. In some embodiments, the processor is configured to execute skills and/or arbitrate between different behaviors and/or actions. In some embodiments, the processor is configured to learn an environmental constraint. In some embodiments, the processor is configured to learn using a general model of a skill.

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Austin, TX, United States of America

Vivian Yaw-Wen Chu