From surveillance applications in controlled environments to navigating and mapping unknown hostile environments, autonomous, multi-sensor platforms are increasingly important to improve mission efficacy and reduce human risks.
This project seeks to implement a dImplementation of differentiable physics engine for distributed motion planning in multi-agent loco-manipulation tasks.
The aim of this project is to enhance the coordination capabilities of autonomous agents during the deployment, either with other autonomous platforms or with human operators.
The central aim of this research is to investigate how foundation models can be effectively leveraged to enhance decision-making capabilities in single autonomous agents operating within complex, real-world environments.