ROSYSYSep 11, 2011

Heterogeneity for Increasing Performance and Reliability of Self-Reconfigurable Multi-Robot Organisms

arXiv:1109.228824 citationsh-index: 44
Originality Synthesis-oriented
AI Analysis

It addresses the trade-off between homogeneity and heterogeneity for researchers designing modular robot systems, but the results are qualitative and lack concrete performance numbers.

This work explores heterogeneity in self-reconfigurable multi-robot organisms, presenting design choices and experiments that demonstrate improved performance and reliability compared to homogeneous systems.

Homogeneity and heterogeneity represent a well-known trade-off in the design of modular robot systems. This work addresses the heterogeneity concept, its rationales, design choices and performance evaluation. We introduce challenges for self-reconfigurable systems, show advances of mechatronic and software design of heterogeneous platforms and discuss experiments, which intend to demonstrate usability and performance of this system.

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