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Updated: Jul 17, 2025
11:53
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
11.7K
Behavior adaptation for mobile robots via semantic map compositions of constraint-based controllers.
Hao Liang Chen1, Bob Hendrikx1, Elena Torta1
1Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Frontiers in Robotics and AI
|September 4, 2023
Summary
This study introduces a new methodology for mobile robot control, bridging application context with robot capabilities. It simplifies complex robot programming by coupling developer and engineer knowledge for advanced motion control.
Area of Science:
- Robotics
- Artificial Intelligence
- Control Systems
Background:
- Constraint-based Optimization Problems (COP) are key for advanced mobile robot motion control.
- COP programming demands expert knowledge to align application context with COP parameters.
- A gap exists in effectively coupling application context knowledge with robot control expertise.
Purpose of the Study:
- To present a novel methodology for integrating application developers' context knowledge with control engineers' robot knowledge.
- To simplify the specification and solving of Constraint-based Optimization Problems (COP) for mobile robots.
- To advance the complexity of mobile robot applications through a structured, conceptually simple approach.
Main Methods:
- A methodology is proposed to couple application context knowledge with robot control knowledge.
- Application developers use symbolic descriptions ('behavior semantics') of robot capabilities.
- These semantics are translated into control actions via 'templates' within a 'semantic map' by an 'interaction layer'.
Main Results:
- The methodology facilitates the translation of behavior semantics into control templates.
- The 'interaction layer' incorporates generic robot motion knowledge, spatial queries, and application knowledge.
- This structured approach simplifies the advancement of complex mobile robot applications.
Conclusions:
- The proposed layered approach (application, interaction, control) offers a structured and simple method for complex robot control.
- It effectively couples application context with robot capabilities, reducing the need for expert COP programming.
- Future industry-wide cooperation can lead to standardized interaction layers for enhanced semantic complexity.
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