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MoCLORA-An Architecture for Legged-and-Climbing Modular Bio-Inspired Robotic Organism
Carlos Prados1, Miguel Hernando1, Ernesto Gambao1
1Centre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Biomimetics (Basel, Switzerland)
|January 17, 2023
Summary
MoCLORA is a novel software framework enabling versatile control for modular climbing robots. This architecture allows adaptable locomotion and seamless integration with digital twins for diverse environmental tasks.
Area of Science:
- Robotics
- Bio-inspired Engineering
- Software Architecture
Background:
- Modular robotic systems offer adaptability but require sophisticated control frameworks.
- Bio-inspired designs, like insect locomotion, provide valuable models for versatile robotic movement.
- Integrating physical robots with digital twins is crucial for efficient testing and development.
Purpose of the Study:
- To introduce MoCLORA (Modular Climbing-and-Legged Robotic Organism Architecture), a software framework for modular, bio-inspired climbing robots.
- To enable control of organisms with variable morphology and module configurations.
- To facilitate seamless interaction between physical robots and their digital twins.
Main Methods:
- Development of a modular low-level software architecture for robot control.
- Implementation of body and leg control for position and velocity.
- Creation of ROMERIN, a modular climbing robot, and its digital twin for testing.
- Validation of the MoCLORA framework using both physical and simulated robots.
Main Results:
- MoCLORA successfully coordinates modular robots of any morphology.
- The framework supports variable numbers and arrangements of modules, enhancing versatility.
- Position and velocity control of the entire robot body and its legs are achieved.
- The digital twin facilitates efficient testing of different module configurations.
Conclusions:
- MoCLORA provides a versatile and adaptable software solution for modular climbing robots.
- The framework enhances robotic capabilities for diverse tasks and environments through modularity and digital twin integration.
- MoCLORA represents a significant advancement in the control of bio-inspired, modular robotic systems.
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