AI Work Tool Parameter Tuning from Haptic Feedback and Job Quality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to optimize operating parameters for work tools based on haptic feedback and job quality, leading to suboptimal performance in vocational tasks.
Innovation Solution
An artificial intelligence agent accesses quality scores and haptic feedback data from a database to generate optimized operating parameters for work tools, which are then transmitted to the tool during task performance, incorporating parameters such as voltage, current, temperature, and tool position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional fixed operating parameters are used for work tools, then device complexity is reduced, but manufacturing precision and quality of work task deteriorate
Solution Approach 1:
The system implements feedback by collecting haptic feedback data from tool usage and quality scores from completed work tasks, then using an AI agent to analyze this feedback and generate optimized operating parameters that are transmitted back to the tool, creating a continuous improvement loop that enhances work quality without requiring complex manual adjustments
Solution Approach 2:
The system enables self-service by allowing the work tool to automatically receive and apply optimized operating parameters generated from its own usage data and performance outcomes, eliminating the need for external expert intervention while continuously improving manufacturing precision through data-driven optimization
2Manufacturing precision
If optimized operating parameters are generated using AI and haptic feedback, then manufacturing precision improves, but loss of information increases due to complex data processing requirements
Solution Approach 1:
The AI agent serves as an intermediary that processes complex haptic feedback data and quality scores, transforming them into simplified optimized operating parameters that can be easily transmitted and applied to the work tool, thereby maintaining manufacturing precision while reducing information loss through effective data mediation
3Ease of operation
If real-time haptic feedback is provided to guide tool usage, then ease of operation improves, but device complexity increases due to additional sensing and control systems
Solution Approach 1:
The system replaces complex mechanical guidance systems with haptic feedback that provides tactile cues to the user, enabling ease of operation through intuitive touch-based guidance while avoiding the complexity of mechanical control systems through substitution with sensor-based haptic actuation
Data Source
AI summary
Systems and methods for using artificial intelligence to generate optimized parameters for a work tool based on tracked haptic feedback and job quality are disclosed. In one embodiment, a method includes an artificial intelligence agent accessing from entries in a database, quality scores and haptic feedback corresponding to a completed instance of a work task. The method further includes the artificial intelligence agent generating optimized operating parameters based on the haptic feedback data and the quality scores, and transmitting the optimized parameters to a tool used to perform the task.