Robotic Vacuum Gripper Control Using Score-Based Cup Reactivation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing robotic grippers face challenges in achieving a secure grasp on objects due to inconsistent vacuum assembly seals, leading to inefficiencies and the need for multiple specialized robots or loosely integrated systems that are slow and inflexible.
Innovation Solution
Intelligent control of vacuum assemblies in a robotic gripper, including activation, reactivation, and deactivation based on seal quality, location, and mask information, to enhance grasp quality and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a robotic gripper uses multiple vacuum assemblies to grasp objects, then the grasp quality can be improved, but the complexity of controlling individual vacuum assemblies increases
Solution Approach 1:
The control system divides the gripper into multiple independently controllable vacuum assemblies, each with its own activation state. This segmentation allows selective deactivation of assemblies with poor seal quality while maintaining operation of assemblies with good seal quality, thereby improving overall grasp reliability without requiring complete system reconfiguration
Solution Approach 2:
The system dynamically adjusts the activation state of individual vacuum assemblies based on real-time seal quality assessment. By transitioning assemblies between active and inactive states based on performance metrics, the system adapts to varying grasp conditions and optimizes grasp quality while managing control complexity
2Reliability
If vacuum assemblies are deactivated when seal quality is poor, then grasp reliability improves, but the time required to achieve a secure grasp increases due to reactivation attempts
Solution Approach 1:
The system performs preliminary assessment of seal quality for each vacuum assembly before finalizing the grasp. By evaluating seal quality metrics in advance and pre-determining which assemblies to activate or deactivate, the system avoids time-consuming trial-and-error reactivation attempts during critical grasp execution
Solution Approach 2:
The control system continuously monitors seal quality of each vacuum assembly and uses this feedback to dynamically adjust activation states. This closed-loop feedback mechanism enables rapid identification of problematic assemblies and intelligent reactivation strategies, reducing overall grasp acquisition time while maintaining high reliability
3Productivity
If intelligent control of individual vacuum assemblies is implemented, then productivity improves by enabling a single robot to perform multiple tasks, but the device complexity increases
Solution Approach 1:
The intelligent vacuum assembly control system enables a single robotic gripper to perform multiple different grasp tasks by selectively activating and deactivating specific assemblies based on object characteristics. This multi-functionality allows one robot to handle diverse objects and tasks that would traditionally require multiple specialized robots, thereby improving productivity
Solution Approach 2:
The system changes operational parameters (activation states) of individual vacuum assemblies based on task requirements and object properties. By dynamically adjusting which assemblies are active, the same gripper hardware can adapt to different grasp scenarios, enabling task versatility without adding physical complexity to the mechanical structure
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
Improves grasp quality and efficiency by optimizing vacuum assembly control, enabling a single robot to perform multiple tasks with agility and speed, reducing the need for multiple specialized systems.
Implementation Method 1
For a robotic manipulator with a vacuum-based gripper, grasp quality may be related to the number of vacuum assemblies of the gripper that are able to form a good seal with the object being manipulated
Data Source
AI summary
Methods and apparatus for controlling a robotic gripper of a robotic device are provided. The method includes activating a plurality of vacuum assemblies of the robotic gripper to grasp one or more objects, disabling one or more of the plurality of vacuum assemblies having a seal quality with the one or more objects that is less than a first threshold, assigning a score to each of the one or more disabled vacuum assemblies, reactivating the one or more disabled vacuum assemblies in an order based, at least in part, on the assigned scores, and grasping the one or more objects with the robotic gripper when a grasp quality of the robotic gripper is higher than a second threshold.