In this work, we investigate algorithmic solutions to improve the Quality Diversity of co-evolved designs of Tensegrity Soft Modular Robots (TSMRs) for two ...
Apr 25, 2021 · Abstract:Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary ...
In this work, we investigate algorithmic solutions to improve the Quality Diversity of co-evolved designs of Tensegrity Soft Modular Robots (TSMRs) for two ...
Sep 8, 2024 · In this work, we investigate algorithmic solutions to improve the Quality Diversity of co-evolved designs of Tensegrity Soft Modular Robots ( ...
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots · Enrico Zardini, Davide Zappetti, +2 authors. D.
Jul 14, 2021 · In this work, we investigate algorithmic solutions to improve the Quality Diversity of co-evolved designs of Tensegrity Soft Modular Robots ( ...
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots · Engineering, Computer Science. GECCO · 2021.
In this work we apply evolutionary algorithms to perform successful co-evolution of body and brain (e.g. morphology and control) of tensegrity modular robots, ...
Missing: Seeking quality diversity
Title: "Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots" Authors: Enrico Zardini, Davide ...
Co-authors ; Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots. E Zardini, D Zappetti, D Zambrano, ...