Robot Controller Using Dictionary Data for Coordinated Object Transfer
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Solution Overview
Problem
Existing robot control systems lack efficient integration and coordination of multiple sensors and controllers, leading to suboptimal performance in complex tasks such as object transfer operations.
Innovation Solution
A control system comprising multiple processors, storage, and a robot controller that utilizes dictionary data to derive control information from sensor outputs, enabling coordinated control of robotic arms and end effectors for precise object transfer tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple sensors and controllers are integrated for complex robotic tasks, then the precision and efficiency of object transfer tasks are improved, but the device complexity increases
Solution Approach 1:
The control system is segmented into multiple independent processors (first processor, second processor, third processor) each handling specific sensor data types. This modular architecture allows complex control functions to be divided into manageable segments, improving precision through specialized processing while maintaining system manageability despite increased complexity
Solution Approach 2:
The robot controller serves multiple functions by receiving and processing output data from multiple different processors simultaneously. It integrates sensor data, derives control information, and controls both robotic arm and end effector, making a single component perform multiple roles that would otherwise require separate systems
2Productivity
If multiple processors are used to process sensor data, then the efficiency of robot control is improved, but the loss of time for data integration increases
Solution Approach 1:
Each processor performs preliminary processing of its specific sensor data type independently before outputs are sent to the robot controller. This preliminary action prepares data in advance for integration, allowing parallel processing that improves efficiency while minimizing the time required for final data integration and coordination
Solution Approach 2:
The multiple processors operate continuously and simultaneously on different sensor data streams, ensuring that useful processing action is continuous across all sensor types. This parallel continuous operation improves overall control efficiency while the robot controller continuously integrates outputs without interruption, minimizing integration time
Data Source
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AI summary
A control system includes a plurality of processors that each performs a process for controlling a robot, a storage, and a robot controller. The storage stores dictionary data for deriving control information to be used to control the robot from a plurality of pieces of output data output from the plurality of respective processors. The robot controller derives the control information from the plurality of pieces of output data and the dictionary data, and controls the robot based on the control information.