Remote Operation Control Using Object Relationships for Multi-Object Handling
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Solution Overview
Problem
Existing remote operation technologies face difficulties in handling multiple objects due to the lack of consideration for the relationships between them, leading to unclear operational methods and restrictions.
Innovation Solution
A remote operation control system that utilizes environmental and operator sensors to estimate the motion and posture of both the operator and objects, generating control commands based on the relationships between objects, allowing for the handling of multiple objects by imposing operational restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional remote operation control is used without considering object relationships, then the system is simple to operate, but it cannot handle multiple objects effectively
Solution Approach 1:
The system performs preliminary acquisition of relationship information between objects before generating control commands. The relationship acquisition unit obtains information about spatial, functional, or logical relationships between multiple objects in advance, allowing the control command generation unit to utilize this pre-acquired information for subsequent control operations, thereby enabling multi-object handling without requiring complex real-time decision-making
Solution Approach 2:
The patent introduces a relationship acquisition unit as an intermediary component between the operator and the control system. This unit acts as a mediator that captures and processes relationship information between objects, providing structured data about object interactions to the control command generation unit, thus enabling sophisticated multi-object control through an intermediate information layer
2Measurement precision
If operational restrictions are imposed based on object relationships, then the precision of remote operation is improved, but the ease of operation is reduced
Solution Approach 1:
The system employs self-service mechanisms where the relationship acquisition unit automatically captures relationship information between objects without requiring manual input from the operator. The control command generation unit then automatically utilizes this information to generate appropriate control commands with built-in operational restrictions, eliminating the need for operators to manually configure complex constraints while maintaining high precision
Solution Approach 2:
The system implements feedback mechanisms where relationship information about objects is continuously acquired and fed back to the control command generation unit. This feedback loop enables the system to automatically adjust control commands based on the current state and relationships of objects, maintaining precision without requiring constant operator intervention or manual configuration of operational constraints
Data Source
AI summary
A remote operation control device includes an intention estimation unit estimating a motion of an operator on the basis of a first sensor value obtained by an environmental sensor acquiring information of a robot or a surrounding environment of the robot, and a second sensor value indicating movement of the operator obtained by an operator sensor; a relationship acquisition unit acquiring a relationship between a first operation target object and a second target object, and a control command generation unit generating a control command on the basis of an estimated motion of the operator and information acquired by the relationship acquisition unit.