Intel corporation (20240293931). HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM simplified abstract
Contents
HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM
Organization Name
Inventor(s)
Javier Turek of Beaverton OR (US)
Leobardo Campos Macias of Guadalajara (MX)
Rafael De La Guardia Gonzalez of Teuchitlan (MX)
Javier Felip Leon of Hillsboro OR (US)
David Gonzalez Aguirre of Portland OR (US)
HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240293931 titled 'HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM
The abstract describes a system for human-cobot ergonomic interaction, which includes components such as a communication interface for sensor data related to human motion, ergonomic assessment processor circuitry, human intent prediction processor circuitry, and cobot motion processor circuitry.
- Communication interface receives sensor data on human motion
- Ergonomic assessment processor evaluates sensor data to generate strain scores for human joints
- Human intent prediction processor interprets sensor data to predict objects the human intends to grasp and selects destination containers
- Cobot motion processor determines positions for the cobot to place selected destination containers based on predicted objects and strain scores
Potential Applications: - Manufacturing environments - Warehousing and logistics - Healthcare settings for patient care - Research and development in robotics
Problems Solved: - Enhancing human-robot collaboration - Improving ergonomic interactions - Increasing efficiency and safety in task completion
Benefits: - Reducing strain on human joints - Enhancing productivity and accuracy in tasks - Facilitating seamless human-robot teamwork
Commercial Applications: Title: "Enhancing Human-Cobot Collaboration in Manufacturing and Beyond" This technology can be utilized in various industries such as manufacturing, warehousing, healthcare, and research, leading to improved efficiency, safety, and collaboration between humans and robots.
Prior Art: Readers can explore prior research on human-robot collaboration, ergonomic assessments, and motion prediction algorithms in robotics to gain a deeper understanding of the background of this technology.
Frequently Updated Research: Stay updated on advancements in human-robot interaction, ergonomic evaluation techniques, and predictive algorithms in robotics to enhance the capabilities of this system.
Questions about Human-Cobot Ergonomic Interaction: 1. How does this system improve workplace safety and efficiency? - This system enhances workplace safety by reducing strain on human joints and improves efficiency by facilitating seamless collaboration between humans and robots. 2. What are the key factors to consider when implementing this technology in different industries? - Factors to consider include the specific tasks involved, the environment in which the technology will be used, and the training required for users to effectively interact with the system.
Original Abstract Submitted
a system for human-cobot (collaborative robot) ergonomic interaction, including: a communication interface operable to receive sensor data related to human motion; ergonomic assessment processor circuitry operable to evaluate the sensor data to generate a strain score for at least one human joint, wherein the strain score represents a strain level of the at least one human joint based on an integration of motion of the at least one human joint over a period of time; human intent prediction processor circuitry operable to interpret the sensor data to predict an object the human intends to grasp, and to select a destination container for the predicted object; and cobot motion processor circuitry operable to determine a position or orientation for the cobot to place the selected destination container based on the predicted object and the strain score.
