3D Depth Processing for Robotic Pick and Placement Verification

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Solution Overview

Problem

Robotic systems struggle to duplicate human sensitivity, flexibility, and adaptability for complex tasks, particularly in extrapolating multiple conclusions and generalizations based on limited information.

Innovation Solution

A robotic system equipped with depth-based processing mechanisms, utilizing imaging devices and sensors to capture and analyze image data, enabling it to estimate object quantities, verify pick/placement, and detect disruptions during object transfer, thereby enhancing its ability to execute complex tasks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If robots are used to automatically execute physical actions, then productivity is improved and human involvement in dangerous or repetitive tasks is reduced, but robots lack the sophistication necessary to duplicate human sensitivity, flexibility, and adaptability for complex tasks

Engineering Contradiction:

Improveautomation capabilityVSAvoidsensitivity and flexibility for complex tasks

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent transitions from traditional 2D image processing to 3D depth-based processing by incorporating depth measures and spatial relationships. This dimensional enhancement allows the robotic system to perceive and reason about object quantities, arrangements, and disruptions in three-dimensional space, thereby improving adaptability for complex tasks while maintaining automation productivity

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent replaces conventional mechanical sensing and control systems with vision-based depth processing and computational reasoning. By using imaging devices and depth-based algorithms to estimate object quantities and verify placements, the system substitutes physical mechanical interaction with intelligent perception and decision-making, enhancing both adaptability and automation capability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If robots execute complex tasks requiring human-like sensitivity, then adaptability is improved, but device complexity increases

Engineering Contradiction:

Improvesensitivity and flexibilityVSAvoidsystem sophistication

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces depth-based image processing and computational algorithms as intermediaries between the robotic system and the physical environment. These intermediary processing layers analyze depth measures, estimate object quantities, and detect disruptions without requiring direct complex mechanical sensing, thereby achieving human-like sensitivity while managing device complexity through software-based solutions

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12544929B2Robotic system with depth-based processing mechanism and methods for operating the same

Publication Date: 2026.02.10 MUJIN INC

AI summary

A system and method for estimating aspects of target objects and/or associated task implementations is disclosed.