IP Library Granted Patent US 12,459,128
Granted Patent B2
US 12,459,128 · App. 18/218,612 · Granted Nov 4, 2025

Tele-operation assistance system and tele-operation assistance method

Inventors: Yili Dong (Wako, JP); Tomoki Watabe (Wako, JP); Simon Manschitz (Offenbach/Main, DE); Dirk Ruiken (Offenbach/Main, DE)
Assignees: HONDA MOTOR CO., LTD.; Honda Research Institute Europe GmbH
B25J9/1689B25J13/06
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,459,128
App. No.
18/218,612
Granted
Nov 4, 2025
Kind
B2
Abstract

A tele-operation assistance system includes: a motion acquisition unit configured to acquire information on a motion of an operator operating an end effector; an intention understanding unit configured to estimate a target object to be operated by the end effector and a task which is a method of operating the target object; an environmental situation determination unit configured to acquire environmental information of an environment in which the end effector is operated; and an operation amount determination unit determine an operation amount of the end effector. The operation amount determination unit estimates an operation distance to the target object based on information of the target object and the motion of the operator, determines an operation state of the end effector according to the estimated operation distance, and changes an input mode of an assistance to a tele-operation according to the operation state.

Claims (38)

1 . A tele-operation assistance system for remotely operating at least an end effector, comprising:

a processor configured to:

acquire information on a motion of an operator operating at least the end effector;

estimate a target object to be operated by the end effector and a task which is a method of operating the target object by using the information on the motion of the operator;

acquire environmental information of an environment in which the end effector is operated; and

based on the estimate of the target object to be operated by the end effector and the task and the environmental information of the environment, determine an operation amount of the end effector,

wherein an operation distance to the target object is estimated based on the information of the target object and the motion of the operator, an operation state of the end effector with respect to the target object according to the estimated operation distance is determined, and an input mode of assistance to a tele-operation according to the operation state is changed, and

wherein

a distant state in which a distance to the target object is farther;

a peripheral state in which a position to the target object is closer; and

an operated state in which the target object is operated, and

the input mode of assistance includes:

a distant mode which directly uses the motion of the operator during the distant state in which the distance to the target object is farther;

a peripheral mode which guides to a working position of the object to the target object during the peripheral state in which the position to the target object is closer; and

an operated mode which assists a manipulation to the target object during the operated state in which the target object is operated.

2 . The tele-operation assistance system according to claim 1 ,

wherein the peripheral mode is classified into:

a state of bringing a hand close to the target object (Approach Object);

a state of moving the hand to a position where the target object can be grasped (Snap to Object);

a state of adjusting a final grasping position in accordance with a surface of the target object and in response to an instruction of the operator (Align with Object);

a state of moving the hand away from a vicinity of the target object (Align with Object),

wherein transitions among the four states according to a work content and a work state are switched.

3 . The tele-operation assistance system according to claim 2 , wherein the transitions among the four states according to the work content and the work state are switched based on using hand command values of the operator, estimated intention information, the environmental information, and a model learned by inputting a teacher data which is the work content.

4 . A tele-operation assistance method that is performed by a tele-operation assistance system for remotely operating at least an end effector, the tele-operation assistance method comprising:

acquiring information on a motion of an operator operating at least the end effector;

estimating a target object to be operated by the end effector and a task which is a method of operating the target object by using the information on the motion of the operator;

acquiring environmental information of an environment in which the end effector is operated; and

based on the estimate of the target object to be operated by the end effector and the task and the environmental information of the environment, determining an operation amount of the end effector,

the tele-operation assistance method further comprising:

estimating an operation distance to the target object based on the information of the target object and the motion of the operator, determining an operation state of the end effector with respect to the target object according to the estimated operation distance, and changing an input mode of an assistance to a tele-operation according to the operation state, and

wherein

a distant state in which a distance to the target object is farther;

a peripheral state in which a position to the target object is closer; and

an operated state in which the target object is operated, and

the input mode of assistance includes:

a distant mode which directly uses the motion of the operator during the distant state in which the distance to the target object is farther;

a peripheral mode which guides to a working position of the object to the target object during the peripheral state in which the position to the target object is closer; and

an operated mode which assists a manipulation to the target object during the operated state in which the target object is operated.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2023
From: DONG, YILI; WATABE, TOMOKI; MANSCHITZ, SIMON; RUIKEN, DIRK
To: HONDA MOTOR CO., LTD.; HONDA RESEARCH INSTITUTE EUROPE GMBH
Reel/Frame 064161/0555 →
Priority Claims (1)
JP 2022-128357 · Aug 10, 2022 · national
Continuity (1)
Related Publication 20240051143A1 · Feb 15, 2024
References Cited (16)
US 9043023B2 · Noro · 2015 [cited by examiner]
US 10919152B1 · Kalouche · 2021 [cited by examiner]
US 20170282363A1 · Yamada · 2017 [cited by examiner]
US 20200230803A1 · Yamashita et al. · 2020 [cited by applicant]
US 20200368903A1 · Miyamoto · 2020 [cited by examiner]
JP 6476358 · 2019 [cited by applicant]
WO 2019069850 · 2019 [cited by applicant]
Japanese Office Action for Japanese Patent Application No. 2022-128357 dated Feb. 18, 2025. [cited by applicant]
Fuchs, et al. “Gaze-Based Intention Estimation for Shared Autonomy in Pick-and-Place Tasks”, frontiers in Neurorobotics , Apr. 16, 2021 , pp. 1-17. [cited by applicant]
Feix, et al. “The GRASP Taxonomy of Human Grasp Types”, IEEE Transactions on Human-Machine Systems (vol. 46, Issue: 1, Feb. 2016), IEEE, p. 66-77. [cited by applicant]
He, et al. “Mask R-CNN”, in IEEE international Conference on Computer Vision, 2017. [cited by applicant]
Zhou, et al. “Fast global registration”, in European Conference on Computer Vision, 2016. [cited by applicant]
Chen, et al. “Object modelling by registration of multiple range images”, Proceedings of the 1991 IEEE International Conference on Robotics and Automation, pp. 2724-2729, 1991. [cited by applicant]
Hodan, et al. “On evaluation of 6d object pose estimation”, in European Conference on Computer Vision, 2016. [cited by applicant]
Programs of IEEE International conference on robotics and automation 2022, Philadelphia (PA), USA, May 23-27, 2022. [cited by applicant]
Manschitz, et al. “Shared Autonomy for Intuitive Teleoperation”, ICRA, 2022. [cited by applicant]