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Published on: May 25, 2013
Design and control of compliant tensegrity robots through simulation and hardware validation
Ken Caluwaerts1, Jérémie Despraz2, Atıl Işçen3
1Dynamic Tensegrity Robotics Lab, NASA Ames Research Center, Moffett Field, CA, USA Reservoir Lab, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium ken.caluwaerts@ugent.be.
NASA researchers developed software and control methods for tensegrity robots, enabling easier design and control of these bio-inspired machines for complex environments. This system was validated using a spherical tensegrity robot prototype.
Area of Science:
- Robotics
- Biomechanical Engineering
- Computational Mechanics
Background:
- Tensegrity structures, characterized by tensile integrity, are prevalent in biological systems.
- Their unique properties offer advantages for robots interacting with unpredictable environments.
- Designing and controlling tensegrity robots presents significant challenges due to their complex nature.
Purpose of the Study:
- To develop and validate software tools for the analysis, simulation, and design of tensegrity robots.
- To present a comprehensive system for designing actuated tensegrity structures.
- To address the challenges in designing and controlling spherical tensegrity robots for locomotion.
Main Methods:
- Development of two software environments for tensegrity robot analysis and simulation.
- Creation of novel control methodologies for mobility and terrain interaction.
- Validation of simulation accuracy using a hardware prototype (Reservoir Compliant Tensegrity Robot).
Main Results:
- Successful simulation of spherical tensegrity structures with novel control approaches.
- Demonstrated effectiveness of the developed software and control system.
- Empirical validation of simulation results through a physical tensegrity robot prototype.
Conclusions:
- The developed system provides a pathway for designing and controlling actuated tensegrity structures.
- The research advances the application of tensegrity principles in robotics, particularly for spherical designs.
- The validated tools and methods facilitate the creation of bio-inspired robots capable of complex locomotion and environmental interaction.
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