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Research Conducted under UMDs ARTIAMAS Initiative (pronounced Artemis).
The ARTIAMAS Initiative at UMD is a collaboration between UMD and the Army Research Labs to study the use of Robotics, AI and Smart Systems to enable them to work alongside humans in diverse domains.
On the modern Battlefield of Things communication is key, but communication can pose significant risks if adversaries are able to detect your signals. To that end, this project studies techniques for long range communication which is undetectable by anyone other than the intended recipients. We seek to use decentralized optimization techniques to enable team of robots, distrusted over large spatial areas, to cooperatively form secure, high strength signals. This project is also interested in reducing the amount of feedback between agents in the field and the base station in order to accurately form our messages, which has lead our work to investigate different models of signals propagate through the environment.
Current Students on Project:
Alex Beyer (PhD)
We collaborate with ARL and the rest of the ARTIAMAS Team on:
Distributed Optimization
Distributed Optimization
Creating state of the art schemes that allow geographically distributed teams of robots to optimally cooperate for covert message sending
Decentralized Control
Decentralized Control
Testing schemes to allow groups of agents to independently reach agreement about the world and solve tasks
ML/AI For Estimation
ML/AI For Estimation
Developing high quality, low overhead models for predicting how radio signals will propagate through dense environments
Related Publications:
K. Chakrabarti, A. S. Bedi, F. T. Dagefu, J. N. Twigg and N. Chopra, "Fast Distributed Beamforming without Receiver Feedback," 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 1408-1412, doi: 10.1109/IEEECONF56349.2022.10051925.
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