Blind Pick-and-Place Retrieval for Variable Dispensable Units
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for improved techniques to retrieve and manage dispensable units of arbitrary size, orientation, texture, and weight, as well as to detect their properties for effective dispensing and notification systems.
Innovation Solution
A system incorporating a pick-and-place retrieval robot with blind retrieval strategies, optical sensors, weight measurement devices, and networked notification systems to manage and monitor dispensable units, enabling efficient retrieval, scheduling, and alerting mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a pick-and-place retrieval robot with blind retrieval strategies is used, then retrieval efficiency is improved, but device complexity increases
Solution Approach 1:
The retrieval robot uses blind retrieval strategies where the system serves itself by automatically navigating and collecting dispensable units without requiring external guidance or complex sensor systems. The robot autonomously performs retrieval operations based on predetermined patterns, reducing the need for complex control infrastructure.
Solution Approach 2:
The retrieval process is divided into discrete attempts or steps, where the robot makes sequential retrieval attempts. Each attempt is an independent operation that can be repeated, allowing the system to achieve high productivity through simple, repeatable actions rather than complex single-step operations.
2Measurement precision
If optical sensors and weight measurement devices are used to detect properties of dispensable units, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensing modalities (optical sensors and weight measurement devices) are merged into a single integrated detection system. The optical sensors identify the presence and basic properties of dispensable units, while weight measurement devices provide additional verification, combining simple sensors into a comprehensive detection capability.
Solution Approach 2:
The sensing system is designed to detect multiple properties of dispensable units (presence, position, weight) using a unified set of sensors that serve multiple functions. The same optical sensors and weight devices used for detection also contribute to the overall control and monitoring of the retrieval process.
3Reliability
If networked notification systems are implemented for monitoring dispensable units, then reliability is improved, but device complexity increases
Solution Approach 1:
The networked notification system implements feedback loops where the status of dispensable units is continuously monitored and communicated back to the system. This feedback mechanism allows the system to detect and respond to potential misuse or hazards, improving reliability through continuous verification rather than complex preventive measures.
Solution Approach 2:
The notification system acts as an intermediary layer between the retrieval robot and the control system. Rather than requiring direct complex communication protocols, the notification system provides a simplified interface that translates sensor data into actionable alerts, reducing the complexity of the overall monitoring architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively retrieves and manages dispensable units of varying characteristics, enhances retrieval efficiency, and provides timely notifications for potential misuse or hazards, improving overall dispensing operations.
Implementation Method 1
The identification of dispensable units through optical sensors, weight measurement devices, and so forth that can detect, e.g., a texture, a shape, and a size of dispensable units.
Implementation Method 2
The identification of dispensable units through optical sensors, weight measurement devices, and so forth that can detect, e.g., a texture, a shape, and a size of dispensable units.
Data Source
AI summary
A system enables management of dispensable units by supporting functions such as retrieval, scheduled distribution, analysis, and notifications. To this end, a dispensable retrieval mechanism may be programmed to carry out blind retrievals of dispensable units using a retrieval strategy with a predetermined sequence of retrieval attempts (e.g., fixed or varying two-dimensional retrieval patterns), which may be open loop or closed loop. Techniques may also include the identification of dispensable units through optical sensors and weight measurement devices that can detect, e.g., a texture, a shape, and a size of dispensable units. Such identification can be used to program retrieval attempts by a retrieval robot and in the formulation of the retrieval pattern. Additionally, networked notification systems for dispensable units can be used for updating rules or schedules related to the dispensable units, or alerting users and remote resources of any potential misuse or hazards of the dispensable units.