Robot control method, robot and storage medium
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing robot control methods fail to adapt tasks according to local conditions after relocalization, leading to inefficiencies and inability to meet user requirements.
Innovation Solution
A robot control method that determines its position and task execution area based on environmental information after relocalization, allowing flexible task execution without returning to the original hijacked position, thereby adapting to local conditions and meeting user requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot returns to the original hijacked position after relocalization, then the localization accuracy is improved, but the task execution flexibility and adaptability to local conditions deteriorate
Solution Approach 1:
The patent applies dynamics by making the robot's post-relocalization behavior adaptive rather than fixed. The control method dynamically determines whether to return to the original position or execute tasks at the current position based on real-time environmental information and task requirements, allowing the system to flexibly adjust its behavior pattern
Solution Approach 2:
The patent changes the decision parameter from a fixed rule (always return to original position) to a variable decision based on environmental conditions. By introducing environmental information assessment and task requirement matching, the system transforms the binary choice into a conditional decision-making process that optimizes between localization accuracy and task execution effectiveness
2Adaptability or versatility
If the robot executes tasks at the current position after relocalization, then the task execution flexibility is improved, but the localization accuracy deteriorates
Solution Approach 1:
The patent transforms the fixed localization accuracy parameter into a conditional parameter that varies based on environmental assessment. By introducing environmental information as a decision variable, the system allows localization accuracy to be optimized when returning to original position while permitting task execution at current position when environmental conditions support it
Solution Approach 2:
The system dynamically adjusts the balance between localization accuracy and task execution flexibility by continuously assessing environmental information. The control method enables real-time switching between prioritizing localization precision and prioritizing task execution adaptability based on current conditions
3Device complexity
If the robot always returns to the original hijacked position after being hijacked, then the system simplicity is maintained, but the user requirement satisfaction and task efficiency deteriorate
Solution Approach 1:
The patent changes the control parameter from a simple fixed rule to a conditional decision-making parameter that incorporates environmental assessment. This transforms the control logic from unconditional return behavior to conditional behavior that optimizes task efficiency while maintaining reasonable system complexity
Solution Approach 2:
The patent applies preliminary action by assessing environmental information before deciding the robot's next action. By performing environmental evaluation in advance, the system can make informed decisions about whether to return to the original position or execute tasks at the current position, improving task efficiency without significantly increasing system complexity
Data Source
Figure 1~2
Figure 3a~3b
Figure 3c~3d
AI summary
The embodiment of the present disclosure provides a robot control method, a robot and a storage medium. In the embodiment of the present disclosure, the robot determines a position when the robot is released from being hijacked based on relocalization operation; determines a task execution area according to environmental information around the position when the robot is released from being hijacked; and afterwards executes a task within the task execution area. Thus, the robot may flexibly determine the task execution area according to the environment in which the robot is released from being hijacked, without returning to the position when the robot is hijacked, to continue to execute the task, then acting according to local conditions is realized and the user requirements may be met as much as possible.