Toyota jidosha kabushiki kaisha (20240269839). POWER ASSIST SYSTEM AND STORAGE MEDIUM simplified abstract
Contents
POWER ASSIST SYSTEM AND STORAGE MEDIUM
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Masashi Yamashita of Miyoshi-shi (JP)
Yuhei Yamaguchi of Toyota-shi (JP)
Hitoshi Yamada of Toyota-shi (JP)
Tatsuo Narikiyo of Nagoya-shi (JP)
POWER ASSIST SYSTEM AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240269839 titled 'POWER ASSIST SYSTEM AND STORAGE MEDIUM
The abstract of this patent application describes a power assist system that includes a robot worn by a user to assist in their actions. The system estimates interference forces from the user to the robot and generates a target velocity in a virtual object based on these forces. The interference force estimation unit includes a disturbance observer and an estimation unit that uses an ESN learning model to estimate the interference force.
- Drive source in the robot assists user's actions
- Interference force estimation unit estimates forces from user to robot
- Admittance model generates target velocity in virtual object based on estimated forces
- Disturbance observer and estimation unit in interference force estimation unit
- ESN learning model used for estimating interference force
Potential Applications: - Assistive technology for individuals with physical limitations - Industrial applications for enhancing human-robot collaboration - Rehabilitation and physical therapy devices
Problems Solved: - Provides assistance to users in performing physical tasks - Improves safety and efficiency in human-robot interactions - Enhances user experience and comfort in using robotic devices
Benefits: - Increased productivity and performance in various tasks - Improved user comfort and reduced physical strain - Enhanced safety and accuracy in human-robot interactions
Commercial Applications: Title: "Enhanced Power Assist System for Human-Robot Collaboration" This technology can be used in industries such as manufacturing, healthcare, and logistics for improving efficiency and safety in human-robot interactions. It can also be marketed as a rehabilitation and physical therapy device for individuals with mobility impairments.
Questions about the technology: 1. How does the ESN learning model improve the estimation of interference forces in the power assist system? 2. What are the potential implications of using this technology in industrial settings for human-robot collaboration?
Original Abstract Submitted
a power assist system according to the present disclosure includes: a robot that is worn by a user, the robot including a drive source that assists action of the user; an interference force estimation unit that estimates an interference force given from the user to the robot; an admittance model that generates a target velocity in a virtual object having a predetermined dynamic characteristic, the target velocity corresponding to the interference force estimated by the interference force estimation unit; and a control unit, in which the interference force estimation unit includes: a disturbance observer that detects a disturbance based on the momentum of the robot; and an estimation unit that estimates the interference force depending on the disturbance detected by the disturbance observer, using an esn learning model for which learning about the interference force depending on the disturbance is performed while weights in a reservoir layer are stochastically assigned.
