Unified Mobile Manipulator Teaching Interface for Non-Expert Task Setup
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Solution Overview
Problem
Current systems require separate teaching processes for mobile robots and collaborative robots, necessitating expert intervention for path and task creation, which is inefficient and cumbersome for non-expert users.
Innovation Solution
A unified teaching device and interface that integrates communication, memory, and processing capabilities to enable simultaneous task performance and setting for both mobile and collaborative robots, allowing non-expert users to manipulate and modify robot tasks through an intuitive interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate teaching processes are used for mobile robots and collaborative robots, then each robot can be controlled independently, but the operation complexity increases and expert intervention is required
Solution Approach 1:
The patent combines separate teaching processes for mobile robots and collaborative robots into a single integrated teaching device. The unified interface allows users to perform map creation, path planning, and task programming for both robot types simultaneously, eliminating the need for separate teaching operations and reducing overall complexity.
Solution Approach 2:
The teaching device is designed with multi-functional capabilities to handle diverse robot types through a single interface. It provides universal teaching functions including SLAM-based map creation for mobile robots and task programming for collaborative robots, making the system adaptable to multiple robot configurations without requiring specialized equipment for each robot type.
2Manufacturing precision
If expert-level teaching is required for robot programming, then precise task execution is achieved, but user accessibility decreases
Solution Approach 1:
The system implements self-service teaching capabilities through automated map creation using SLAM technology and intuitive icon-based programming interfaces. Users can perform teaching operations without expert knowledge by simply selecting icons and configuring parameters through the graphical interface, which automatically generates the necessary task programs for both mobile and collaborative robots.
Solution Approach 2:
The patent replaces traditional mechanical teaching methods (physical robot manipulation and complex code writing) with an electronic graphical interface system. Users interact with the teaching device through visual icons, drag-and-drop operations, and parameter selection, eliminating the need for manual robot manipulation and complex programming, thereby making the system accessible to non-expert users while maintaining task execution precision.
3Adaptability or versatility
If multiple separate teaching devices are used for different robot functions, then specialized functionality is maintained, but device complexity increases
Solution Approach 1:
The patent merges multiple separate teaching devices into a single integrated system that can handle map creation, path planning, and task programming for both mobile and collaborative robots. This consolidation reduces the number of separate devices needed while maintaining all necessary specialized functions through a unified architecture.
Solution Approach 2:
The teaching device is designed with universal multi-functional capabilities that allow it to perform specialized tasks for different robot types through a single interface. It includes integrated SLAM processing for mobile robots and task programming functions for collaborative robots, making one device sufficient for all teaching operations previously requiring multiple separate systems.
Data Source
AI summary
Provided is a teaching device for a mobile manipulator based on a mobile robot and a collaborative robot. The teaching device includes a communication unit that transmits/receives data to and from the mobile manipulator, a memory that stores a program providing an interface for performing a task of the mobile manipulator, and a processor that operates a teaching program that performs map creation and autonomous setting for the mobile robot, and setting necessary for robot manipulation for the collaborative robot on the same interface.