Collaborative Robot Action Control for Worker-Specific Adaptation

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Solution Overview

Problem

Current robot control systems fail to optimize work efficiency in collaborative robotics due to the variability of human workers' attributes, such as height and dominant hand, leading to decreased efficiency and increased fatigue during prolonged tasks.

Innovation Solution

A robot system with a control device that selects actions based on user-specific attributes, utilizing a vision sensor, ID recognition unit, and action adjustment unit to tailor robotic actions to individual workers, including the use of head-mounted displays, helmets, and wristwatch terminals for data exchange and user interface control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If robot control systems use standardized actions for all workers, then device complexity is reduced and ease of operation is improved, but work efficiency decreases and worker fatigue increases due to inability to accommodate individual attributes

Engineering Contradiction:
Improvework efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The robot control system dynamically adjusts robotic actions based on detected worker attributes (height, dominant hand, fatigue level) rather than using fixed standardized actions. The control device modifies robot behavior in real-time according to worker conditions, enabling adaptive collaboration that improves efficiency without requiring complex manual reconfiguration.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system automatically detects worker attributes using vision sensors and ID recognition, then autonomously selects appropriate robotic actions without requiring worker input or manual programming. The robot self-adjusts its behavior based on detected worker characteristics, reducing the burden on workers while improving work efficiency.

Inventive Principle:
Principle #25Self-service

2Ease of operation

If robot control systems adapt actions to individual worker attributes, then work efficiency is improved and worker fatigue is reduced, but device complexity increases due to need for attribute detection and action selection mechanisms

Engineering Contradiction:
Improveworker comfort and reduced fatigueVSAvoidcontrol system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The vision sensor and control device serve multiple functions: they detect worker identity, measure physical attributes (height, dominant hand), monitor fatigue levels, and select appropriate robotic actions. This multi-functionality reduces the need for separate specialized devices, managing system complexity while enabling comprehensive worker adaptation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system changes operational parameters of the robot (position, speed, action type) based on detected worker attributes. By dynamically adjusting these parameters according to worker characteristics, the system improves comfort and reduces fatigue without requiring fundamentally different robot hardware for each worker type.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If robot control systems learn and adapt to worker motion over time, then work efficiency improves through collaboration, but measurement precision requirements increase to accurately capture and interpret worker attributes

Engineering Contradiction:
Improvecollaborative work efficiencyVSAvoidworker attribute detection accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system continuously monitors worker motion and attributes, using this feedback to refine robot actions and improve collaboration efficiency. The vision sensor captures worker movements, the control device analyzes these patterns, and the robot adjusts its behavior accordingly, creating a closed-loop system that improves productivity through iterative adaptation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary detection and classification of worker attributes (height, dominant hand, fatigue level) before executing collaborative tasks. By pre-processing and understanding worker characteristics in advance, the system can select appropriate robotic actions that maximize efficiency without requiring ultra-high precision measurement during the actual work execution.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12179365B2Robot system, terminal, control method for robot system, and control method for terminal
Publication Date: 2024.12.31 CANON KK
  • US12179365B2 patent drawing
  • US12179365B2 patent drawing
  • US12179365B2 patent drawing

AI summary

A robot system is provided and includes a robot body that performs predetermined work together with a user, and a control device that controls the robot body. The control device selects, in accordance with special information of the user, an action to be performed by the robot body during the predetermined work.