Dynamic Execution Zone Control for Human-Robot Collaboration
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Solution Overview
Problem
Current industrial automation systems are inefficient as they require static zones for human-machine interaction, leading to disruptions and interruptions when humans and machines attempt to move independently in the same space, as these systems are not designed to accommodate dynamic navigation and collaboration.
Innovation Solution
A process and control system that enables dynamic automation by allowing humans and mobile robots to move autonomously and interact dynamically, with the mobile robot navigating freely and initiating cooperation in a dynamically determined execution zone, using bidirectional communication to coordinate tasks efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static zones are defined for human-machine interaction in automatic systems, then system structure is simplified and zones are clearly defined, but flexibility and adaptability are reduced as humans and machines cannot move independently and autonomously
Solution Approach 1:
The patent applies dynamics by transforming static interaction zones into dynamic execution zones that can move and adapt in real-time. The system continuously determines optimal execution zones based on current robot positions, task requirements, and environmental conditions, allowing both humans and machines to move independently while maintaining coordinated collaboration.
2Productivity
If driverless transport systems reserve carriage ways for FTS movements, then automated transport efficiency is improved, but human movement freedom is restricted and obstacles are perceived as disruptions causing interruptions
Solution Approach 1:
The patent introduces a control system as an intermediary that coordinates between autonomous mobile robots and humans. This control system manages spatial and temporal relationships, allowing robots to navigate efficiently while dynamically adjusting to human presence, thereby maintaining automated transport efficiency without restricting human movement freedom.
Solution Approach 2:
The system dynamically determines execution zones based on real-time conditions, allowing carriage ways to be shared between automated transport and human movement. The control system continuously adapts robot paths and execution zones to accommodate human presence, converting static reserved pathways into dynamic shared spaces.
3Device complexity
If static execution zones are used for task execution, then task coordination is simplified, but system efficiency decreases due to fixed resource allocation and inability to adapt to changing conditions
Solution Approach 1:
The patent implements dynamic execution zones that are continuously determined based on robot positions, task requirements, and environmental conditions. This dynamic approach allows the system to optimize resource allocation and task coordination in real-time, improving system efficiency while maintaining manageable complexity through automated control.
Solution Approach 2:
The control system continuously monitors robot positions, task progress, and environmental conditions, using this feedback to dynamically adjust execution zones and resource allocation. This feedback mechanism enables the system to adapt to changing conditions and optimize efficiency without requiring complex manual coordination.
Data Source
AI summary
The invention relates to a method for dynamic automation, in which collaborative elements, such as humans and mobile robots, but also machines, co-operate, in order to carry out tasks as efficiently as possible. Each of said collaborative elements carries out a part of a working process which exploits the concept of collaboration the most in terms of efficiency, flexibility, quality and performance. The invention also relates to a control system for carrying out said method. The inventive method can be applied in logistics, especially storage logistics, such as commissioning.