Robot Object Designation Using 2D Shape Input for Complex Grasping
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Solution Overview
Problem
Existing robot systems struggle to accurately recognize objects, especially when objects are complex, intermingled, or have reflective surfaces, leading to difficulties in grasping and moving them correctly.
Innovation Solution
A designation device that allows a worker to input and display a two-dimensional image of an object's external form, enabling the robot system to grasp and move objects based on this designated form, even if the robot system cannot correctly recognize the object's pre-movement state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive industrial cameras are used for automatic recognition, then the robot system can recognize objects in normal conditions, but it fails to appropriately recognize individual objects when objects are complex, intermingled, reflective, or wrapped in cushioning material
Solution Approach 1:
The patent uses a two-dimensional image as a copy or representation of the object's external form, allowing the robot to grasp and move objects based on this simplified representation rather than relying on complex automatic recognition of the actual object. This copying approach enables accurate object handling even when the original object has complex features that are difficult to recognize automatically.
2Extent of automation
If automatic recognition systems are used, then the robot system can operate without human intervention in simple cases, but it cannot correctly recognize objects in complex scenarios requiring manual designation
Solution Approach 1:
The patent introduces a two-dimensional image as an intermediary between the object and the robot's grasping action. Instead of directly recognizing complex objects, the system uses the simplified 2D image representation as a mediator that the robot can reliably process, combining automatic operation with reliable object identification.
3Productivity
If the robot system uses traditional automatic recognition, then it can handle simple objects efficiently, but it struggles with objects that have reflective surfaces, transparent materials, or are wrapped in cushioning material
Solution Approach 1:
The patent extracts only the essential external form information needed for grasping and moving objects, represented as a two-dimensional image. By taking out only the necessary geometric information rather than attempting to fully recognize complex object properties, the system achieves efficient object handling while avoiding the difficulties of detecting reflective, transparent, or wrapped surfaces.
Data Source
AI summary
A designation device receives an input designating at least a portion of an external form of an object to be moved in a robot system that moves the object to be moved by following a predetermined algorithm in accordance with a work goal. The designation device makes a display device display a two-dimensional image including the object to be moved, and the external form received by the reception means.


