Robotic Training System

Patent metadata

Field	Value
Publication number	US-2018333861-A1
Application number	US-201515546089-A
Country	US
Kind code	A1
Filing date	Dec 10, 2015
Priority date	Jan 26, 2015
Publication date	Nov 22, 2018
Grant date	—

Abstract

A method for controlling the robot of a training system according to any of the previous claims, wherein a biomechanical and/or cardiovascular stress of the user, particularly based on a measured impingement of the actuation surface, is determined and the robot is controlled using a predetermined and the measured biomechanical and/or cardiovascular stress of the user. A computer program product with a program code, which is saved on a medium readable by the computer, for implementing a method according to the previous claim.

First claim

What is claimed is:

1 . A training system with
a robot ( 10 ); a robot-guided actuation surface ( 30 A); an activity detection means ( 40 ) for detecting a biomechanical and/or cardiovascular stress of a user ( 20 ), particularly based on an impingement of the actuation surface determined by a force detection means ( 12 ) of the training system; and a control means ( 40 ) for controlling the robot based on a predetermined and a measured biomechanical and/or cardiovascular stress of the user.

2 . A training system according to claim 1 , wherein an activity detection means is implemented to determine the stress of the user based on at least one biomechanical and/or cardiovascular model, particularly a modular one and/or one that can be parameterized, and/or a measured status of the user.

3 . A training system according to the previous claim, wherein the activity detection means being embodied to determine the status of the user is based on a detected position, acceleration, nerve and/or muscle and/or cardiovascular activity and/or dimensions of a biological structure of the user.

4 . A training system according to the previous claim, wherein the activity detection means features at least one particularly inertial position sensor, arranged at the user, acceleration sensor, EMG-sensor and/or at least one sensor for determining a cardiovascular parameter and/or at least one particularly non-invasive sensor for determining a dimension of a biological structure of the user and/or at least one room monitoring sensor ( 70 ).

5 . A training system according to any of the previous claims, wherein the control means is implemented to control a force, particularly the direction of force and/or the strength of the robot upon the robot-guided actuation surface and/or a motion of the robot-guided actuation surface by the robot, particularly a direction and/or speed of motion, based on the predetermined and the measured biomechanical and/or cardiovascular stress of the user.

6 . A training system according to any of the previous claims, featuring a safety means ( 50 ) for the particularly redundant monitoring of the impingement of the actuation surface, the measured biomechanical and/or cardiovascular stress of the user, and/or the status of the robot.

7 . A training system according to the previous claim, wherein the safety means is implemented to perform compensating motions if an impermissible impingement of the actuation surface or biomechanical and/or cardiovascular stress of the user or an impermissible status of the robot is determined.

8 . A training system according to any of the previous claims, wherein the control means is implemented to identify the user ( 20 ), particularly in a touchless fashion, and to control the robot based on the user identified.

9 . A training system according to any of the previous claims, featuring at least two actuation surfaces ( 30 A, 30 B, 30 C), which can optionally be coupled to the robot, with the control means being implemented to at least partially automatically change the robot-guided actuation surfaces and/or identify them and to control the robot based on the identified robot-guided actuation surface.

10 . A training system according to any of the previous claims, featuring a fixing means for fixing the user to a robotic actuation surface and/or a user positioning device ( 60 ).

11 . A training system according to any of the previous claims, featuring output means for issuing feedback based on the determined biomechanical and/or cardiovascular stress.

12 . A method for controlling the robot of a training system according to any of the previous claims, wherein a biomechanical and/or cardiovascular stress of the user, particularly based on a measured impingement of the actuation surface, is determined and the robot is controlled using a predetermined and the measured biomechanical and/or cardiovascular stress of the user.

13 . A computer program product with a program code, which is saved on a medium readable by the computer, for implementing a method according to the previous claim.

Assignees

• Kuka Roboter Gmbh

Inventors

• Keibel Andreas
• Arenbeck Henry
• Kolditz Melanie
• Albracht Kirsten
• Abel Dirk
• Brueggemann Gert-Peter

Classifications

• A63B2220/806

  Video cameras · CPC title

• A63B23/0405

  involving a bending of the knee and hip joints simultaneously (A63B23/0476 takes precedence) · CPC title

• A63B21/4035

  for operation by hand · CPC title

• A63B23/03525

  Supports for both feet or both hands performing simultaneously the same movement, e.g. single pedal or single handle (A63B21/0724 takes precedence) · CPC title

• A63B2225/54

  Transponders, e.g. RFID · CPC title