Virtual Robot Control for Accurate Physical Motion Execution
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Solution Overview
Problem
Current robotic control methods often result in erroneous or redundant operations, leading to low accuracy of robot movements.
Innovation Solution
A control method and device that construct a virtual object based on a physical object, allowing the virtual object to perform actions and determine target instructions, which are then sent to the physical object to improve movement accuracy by pre-executing actions and removing redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct control instructions are sent to the physical robot, then control speed is fast, but movement accuracy is low due to erroneous or redundant operations
Solution Approach 1:
The patent applies preliminary action by first controlling the virtual robot to execute actions before determining the final control instruction for the physical robot. This pre-execution phase allows the system to identify and eliminate erroneous or redundant operations in advance, thereby improving movement accuracy while reducing wasted control time
Solution Approach 2:
The patent uses copying by creating a virtual robot that replicates the physical robot's characteristics and environment. The virtual robot serves as a digital twin that can be controlled and simulated without affecting the actual physical system, allowing for error-free action planning that is then transferred to the physical robot
2Measurement precision
If multiple control attempts are made to ensure accuracy, then movement accuracy improves, but power consumption increases
Solution Approach 1:
The virtual robot acts as a computational copy that consumes minimal energy compared to physical robot operations. By performing multiple control attempts and validations in the virtual environment rather than the physical system, the patent achieves high movement accuracy while minimizing power consumption of the actual moving object
3Measurement precision
If control instructions are refined and validated before execution, then movement accuracy improves, but control complexity increases
Solution Approach 1:
The virtual robot serves as an intermediary between the control system and the physical robot. It absorbs the complexity of action validation, error detection, and instruction refinement, allowing the physical robot to receive only finalized, validated control instructions. This mediator approach improves movement accuracy while containing control system complexity within the virtual environment
Data Source
AI summary
A control method includes controlling a virtual object to perform an action, the virtual object being constructed based on a physical object; determining a target instruction based on the action performed by the virtual object; and sending the target instruction to the physical object to cause the physical object to perform an action.