Loader Augmented Control for Learned Repetitive Task Cycles
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Solution Overview
Problem
Power machines, such as compact loaders, face challenges in efficiently performing repetitive tasks due to the need for continuous operator intervention, which can lead to inefficiencies and increased time requirements.
Innovation Solution
The implementation of an augmented control system that allows power machines to learn and autonomously perform repetitive tasks by initiating a learning mode, setting a home position, and recording operations, enabling the machine to automatically repeat the task cycle as specified.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If continuous operator intervention is used to control power machines for repetitive tasks, then the machine can perform tasks with flexibility and adaptability, but the efficiency and productivity are reduced due to time consumption and operator workload
Solution Approach 1:
The power machine performs repetitive tasks autonomously after the operator demonstrates the task once. The controller records the operator's control inputs and machine responses during a demonstration cycle, then automatically executes the recorded sequence without continuous operator intervention, allowing the machine to serve itself in performing repetitive operations
Solution Approach 2:
The controller creates a digital copy of the operator's demonstrated task cycle by recording control lever positions, machine responses, and operational parameters. This recorded copy is then replayed automatically to execute the same task sequence repeatedly without requiring the operator to physically replicate the actions each time
2Productivity
If augmented control system with learning mode is implemented, then the machine can autonomously perform repetitive tasks improving efficiency, but the device complexity increases
Solution Approach 1:
The existing controller is enhanced to perform multiple functions: normal real-time control, demonstration mode recording, and automated replay execution. By making the controller universal and multi-functional rather than adding separate dedicated systems, the patent improves productivity while minimizing the increase in device complexity
3Loss of time
If the power machine autonomously performs tasks by learning from demonstration, then time is saved in repetitive operations, but the initial setup and learning process requires additional time
Solution Approach 1:
The operator performs a one-time demonstration of the task cycle during which the controller records all control inputs and machine responses. This preliminary action of recording during demonstration prepares the system for rapid automated execution, sacrificing initial setup time to gain significant time savings during subsequent repetitive task executions
Data Source
AI summary
Disclosed embodiments include power machines or loaders, and systems used on loaders, configured to augment the control of the loader to accomplish repetitive tasks. Also disclosed are methods of learning a task for augmented control of a loader, and methods of controlling a loader to perform a learned task to provide augmented control of the loader.