Juan Salazar — accepted AI-conference papers

2022

Automatic Co-Design of Aerial Robots Using a Graph Grammar

Allan Zhao, Tao Du, Jie Xu, Josie Hughes, Juan Salazar, Pingchuan Ma +3

IROS 2022poster

Unmanned aerial vehicles (UAVs) have broad applications including disaster response, transportation, photography, and mapping. A significant bottleneck in the development of UAVs is the limited availability of automatic tools for task-specific co-design of a UAV's shape and controller. The developme…

Cited by 9 Source ↗Scholar ↗

2022

Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots

Allan Zhao, Jie Xu, Juan Salazar, Wei Wang, Pingchuan Ma, Daniela Rus +1

ICRA 2022poster

Autonomous underwater vehicles (AUVs) are spe-cialized robots that are commonly used for seafloor surveying and ocean water sampling. Computational design approaches have emerged to reduce the effort required to design both individual AUVs as well as fleets. As the number and scale of underwater mis…

Cited by 13 Source ↗Scholar ↗