Towards Safe and Resilient Autonomy in Multi-Robot Systems
Abstract
In the near future, autonomous systems such as multi-robot systems are envisioned to increasingly co-exist with hu- mans in our daily lives, from household service to large- scale warehouse logistics, agriculture environment sampling, and smart city. In these applications, robots and humans as networked heterogeneous components will frequently inter- act with each other in a variety of scenarios under uncer- tain, rapidly-changing, and possibly hostile environment. On one hand, harmonious interactions among robots, as well as between robots and humans, would require safe integration (e.g. collision-free close-proximity interactions) of heteroge- neous robots, human, and human-robot autonomy. On the other hand, reliable interactions among autonomous multi- robot systems often call for resilient system integrity (e.g. communication capability with potential robot failures) to re- tain its capability of accomplishing complex tasks through coordinated behaviors. In the proposed talk, I will discuss our recent works towards safe autonomy and resilient autonomy that aim to facilitate correct-by-design robotic behaviors in a variety of applications.
Cite
Text
Luo. "Towards Safe and Resilient Autonomy in Multi-Robot Systems." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26816Markdown
[Luo. "Towards Safe and Resilient Autonomy in Multi-Robot Systems." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/luo2023aaai-safe/) doi:10.1609/AAAI.V37I13.26816BibTeX
@inproceedings{luo2023aaai-safe,
title = {{Towards Safe and Resilient Autonomy in Multi-Robot Systems}},
author = {Luo, Wenhao},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2023},
pages = {15449},
doi = {10.1609/AAAI.V37I13.26816},
url = {https://mlanthology.org/aaai/2023/luo2023aaai-safe/}
}