Real-Time Perception and Planning in Network of Agents
Abstract
This project proposes a rather unified framework for several fundamental problems in sensing, perception, and control of multi-agent systems. We propose that dynamical spacetime sampling of streaming data, its representation for perception, nonlinear behavior of agents, and task planning formulations involving onlinearities can be formulated in a unified manner via frame theory. If successful, the outcomes of this project will provide a map on how to evaluate robustness and performance of closed-loop systems subject to streaming data. The theoretical findings of this project will be implemented to achieve vision-based swarm of multiple quadcopters.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 20, 2019
- Source ID
- N000141912478
Entities
People
- Nader Motee
Organizations
- Lehigh University
- Office of Naval Research
- United States Navy