Výsledky vyhledávání - "Novitzky, Michael"

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Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System

Autor: Kurtz, Martina Stadler, Prentice, Samuel, Veys, Yasmin, Quang, Long, Nieto-Granda, Carlos, Novitzky, Michael, Stump, Ethan, Roy, Nicholas

We would like to enable a collaborative multiagent team to navigate at long length scales and under uncertainty in real-world environments. In practice, planning complexity scales with the number of agents in the team, with the length scale of the en

Externí odkaz: http://arxiv.org/abs/2404.17438

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Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions

Autor: Beason, Jordan, Novitzky, Michael, Kliem, John, Errico, Tyler, Serlin, Zachary, Becker, Kevin, Paine, Tyler, Benjamin, Michael, Dasgupta, Prithviraj, Crowley, Peter, O'Donnell, Charles, James, John

The objective of this work is to evaluate multi-agent artificial intelligence methods when deployed on teams of unmanned surface vehicles (USV) in an adversarial environment. Autonomous agents were evaluated in real-world scenarios using the Aquaticu

Externí odkaz: http://arxiv.org/abs/2404.17038

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Dissertation/ Thesis

TAR: Trajectory adaptation for recognition of robot tasks to improve teamwork

Autor: Novitzky, Michael

One key to more effective cooperative interaction in a multi-robot team is the ability to understand the behavior and intent of other robots. Observed teammate action sequences can be learned to perform trajectory recognition which can be used to det

Externí odkaz: http://hdl.handle.net/1853/54367

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A Monte Carlo Approach to Closing the Reality Gap

Autor: Lyons, Damian, Finocchiaro, James, Novitzky, Michael, Korpela, Christopher

We propose a novel approach to the 'reality gap' problem, i.e., modifying a robot simulation so that its performance becomes more similar to observed real world phenomena. This problem arises whether the simulation is being used by human designers or

Externí odkaz: http://arxiv.org/abs/2005.03809

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Inferring Social Structure and Dominance Relationships Between Rhesus macaques using RFID Tracking Data

Autor: Maddali, Hanuma Teja, Novitzky, Michael, Hrolenok, Brian, Walker, Daniel, Balch, Tucker, Wallen, Kim

In this paper we address the problem of inferring social structure and dominance relationships in a group of rhesus macaques (a species of monkey) using only position data captured using RFID tags. Automatic inference of the social structure in an an

Externí odkaz: http://arxiv.org/abs/1407.0330

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