no code implementations • 4 Apr 2023 • Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods, Jeff Schneider
We conduct field tests using our multi-robot system in an unstructured environment with a search area of approximately 75, 000 sq.
no code implementations • 5 Oct 2022 • Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Multi-agent active search requires autonomous agents to choose sensing actions that efficiently locate targets.
no code implementations • 9 Mar 2022 • Arundhati Banerjee, Ramina Ghods, Jeff Schneider
We then build a decision making algorithm on this inference method that uses Thompson sampling to enable decentralized multi-agent active search.
1 code implementation • 9 Nov 2020 • Ramina Ghods, William J. Durkin, Jeff Schneider
The active search for objects of interest in an unknown environment has many robotics applications including search and rescue, detecting gas leaks or locating animal poachers.
no code implementations • 5 Aug 2020 • Ramina Ghods, Charles Jeon, Arian Maleki, Christoph Studer
Practical systems often suffer from hardware impairments that already appear during signal generation.
no code implementations • 25 Jun 2020 • Ramina Ghods, Arundhati Banerjee, Jeff Schneider
Active search refers to the problem of efficiently locating targets in an unknown environment by actively making data-collection decisions, and has many applications including detecting gas leaks, radiation sources or human survivors of disasters using aerial and/or ground robots (agents).
1 code implementation • 28 Jan 2020 • Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer
To address this issue, a variety of methods that rely on random parameter initialization or knowledge distillation have been proposed in the past.
no code implementations • ICML 2018 • Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer
Phase retrieval refers to the problem of recovering real- or complex-valued vectors from magnitude measurements.