18397441. HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM simplified abstract (Intel Corporation)
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 18397441 titled 'HUMAN-COLLABORATIVE ROBOT ERGONOMIC INTERACTION SYSTEM
Simplified Explanation: The patent application describes a system for human-cobot ergonomic interaction that includes assessing human motion, predicting human intent, and determining cobot motion based on the assessment and prediction.
- 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 humans intend to grasp.
- Cobot motion processor determines positions for cobots based on predicted objects and strain scores.
Key Features and Innovation:
- Assessment of human motion for ergonomic evaluation.
- Prediction of human intent for efficient collaboration.
- Determination of cobot motion based on human assessment and intent prediction.
Potential Applications: This technology can be applied in industries where human-robot collaboration is necessary, such as manufacturing, healthcare, and logistics.
Problems Solved: This technology addresses the need for seamless interaction between humans and cobots to improve efficiency and safety in collaborative tasks.
Benefits:
- Enhanced ergonomic interaction between humans and cobots.
- Improved task efficiency and safety in collaborative environments.
- Streamlined workflow and reduced strain on human joints.
Commercial Applications: The technology can be utilized in manufacturing plants, warehouses, hospitals, and other settings where human-robot collaboration is essential for optimizing operations and ensuring workplace safety.
Prior Art: Prior research in the field of human-robot interaction and ergonomic assessment can provide valuable insights into similar technologies and approaches.
Frequently Updated Research: Stay updated on advancements in sensor technology, motion prediction algorithms, and human-robot collaboration to enhance the capabilities of this system.
Questions about Human-Cobot Ergonomic Interaction: 1. How does this technology improve the efficiency of collaborative tasks between humans and cobots? 2. What are the potential challenges in implementing this system in different industrial settings?
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.
