Abstract
We investigate the effect of errors in collective robotic construction (CRC) on both construction time and the probability of correctly completing a specified structure. We ground our investigation in the TERMES distributed construction system, which uses local sensing and stigmergic rules that enable robots to navigate and build 3D structures. We perform an in depth analysis and categorization of action failures in CRC systems. We present an approach to mitigating action failures and preventing errors that prohibit completion of a structure by adding predictive local checks. We show that the predictive local checks can increase the probability of success by orders of magnitude in large structures. This work demonstrates the need to consider both construction time and the effect of errors in collective robotic construction.
| Original language | English |
|---|---|
| Title of host publication | Distributed Autonomous Robotic Systems - 15th International Symposium, 2022 |
| Editors | Fumitoshi Matsuno, Shun-ichi Azuma, Masahito Yamamoto |
| Publisher | Springer Nature |
| Pages | 269-281 |
| Number of pages | 13 |
| ISBN (Print) | 9783030927899 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 15th International Symposium on Distributed Autonomous Robotic Systems, DARS 2021 and 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics, SWARM 2021 - Virtual Online Duration: Jun 1 2021 → Jun 4 2021 |
Publication series
| Name | Springer Proceedings in Advanced Robotics |
|---|---|
| Volume | 22 SPAR |
| ISSN (Print) | 2511-1256 |
| ISSN (Electronic) | 2511-1264 |
Conference
| Conference | 15th International Symposium on Distributed Autonomous Robotic Systems, DARS 2021 and 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics, SWARM 2021 |
|---|---|
| City | Virtual Online |
| Period | 06/1/21 → 06/4/21 |
Funding
Acknowledgments. This project was funded by the Packard Fellowship for Science and Engineering, GETTYLABS, and the National Science Foundation (NSF) Grant #1846340 and #2042411.
Fingerprint
Dive into the research topics of 'Errors in Collective Robotic Construction'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver