Modular Robot Operating Model for Coordinated Motion Postures
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Solution Overview
Problem
Existing robots lack functional scalability and re-configurability, requiring repetitive assembly and complex adjustment procedures for different tasks, leading to poor user experience and high development costs.
Innovation Solution
A robot control method that includes regulating the robot to a motion posture, saving motion-posture information, generating preset action control information based on wheel speed, and constructing an operating model to output actual motion control information for user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the main module and basic modules are adjusted individually or wheels and sub-modules are adjusted individually, then the control procedure is simple, but the adjustment posture is limited and cannot meet diverse user needs
Solution Approach 1:
The patent combines the adjustment of main modules, basic modules, and wheels into a single coordinated operation. The operating model integrates control signals to simultaneously adjust multiple components, enabling complex postures without requiring multiple separate adjustment steps.
Solution Approach 2:
The system dynamically coordinates the adjustment of multiple robot components based on the desired motion posture. The operating model calculates and executes coordinated adjustments of main modules, basic modules, and wheels simultaneously, allowing the robot to achieve diverse postures efficiently.
2Manufacturing precision
If the procedure for setting control-action information is cumbersome, then the control can be precise, but the adjustment speed is slow and the adjustment operation is complicated
Solution Approach 1:
The patent pre-calculates and stores motion-posture information and preset action control information for common robot postures. When a user wants to adjust the robot to a known posture, the system can quickly retrieve and execute the pre-prepared control signals, significantly reducing adjustment time while maintaining precision.
Solution Approach 2:
The system replaces manual, step-by-step mechanical adjustment with an automated operating model that calculates and executes coordinated control signals. This substitution of manual operation with automated control reduces both the time and complexity of adjustment operations.
3Adaptability or versatility
If a specific robot is developed for each field and application, then the robot function is specialized, but the development cost is very expensive
Solution Approach 1:
The patent implements a universal modular robot platform with standardized main modules, basic modules, and wheels that can be combined in various configurations. The operating model provides unified control for different module combinations, allowing a single robot system to perform multiple functions across different applications without requiring separate specialized robots.
Solution Approach 2:
The robot system is divided into independent, standardized modules (main module, basic modules, wheels) that can be selectively combined. This segmentation allows the same set of modules to be reconfigured for different applications, reducing the need to develop entirely new robots for each field and thereby lowering development costs.
Data Source
AI summary
The present disclosure relates to the field of robots, and particularly relates to a robot control method, a robot control system and a modular robot. The robot control method includes the steps of: T1: providing a robot, with at least one wheel and at least one motion posture; T2: regulating the robot to a motion posture, saving motion-posture information corresponding to the motion posture, and generating preset action control information based on the speed of the wheel and the motion-posture information; T3: constructing and forming an operating model based on the preset action control information; and T4: outputting, by the operating model, actual motion control information of a motion according to user's input to control the robot to perform the motion. Thus, it is convenient to set motion modes to meet the diverse needs of users, and the design space of the robot suitable for more scenarios is increased.