activity
20202025
most citedMap Prediction and Generative Entropy for Multi-Agent Exploration

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025★ 1 cited

Map Prediction and Generative Entropy for Multi-Agent Exploration

Alexander Spinos, Bradley Woosley, Justin Rokisky +3

Traditionally, autonomous reconnaissance applications have acted on explicit sets of historical observations. Aided by recent breakthroughs in generative technologies, this work en…

cs.MA2022

Dynamic and Distributed Optimization for the Allocation of Aerial Swarm Vehicles

Jason Hughes, Dominic Larkin, Charles O'Donnell +1

Optimal transport (OT) is a framework that can guide the design of efficient resource allocation strategies in a network of multiple sources and targets. This paper applies discret…

cs.RO2020

Comparing Feedback Linearization and Adaptive Backstepping Control for Airborne Orientation of Agile Ground Robots using Wheel Reaction Torque

Jinho Kim, Daniel J. Gonzalez, Christopher M. Korpela

In this paper, two nonlinear methods for stabilizing the orientation of a Four-Wheel Independent Drive and Steering (4WIDS) robot while in the air are analyzed, implemented in simu…

cs.RO2020

Dynamics and Aerial Attitude Control for Rapid Emergency Deployment of the Agile Ground Robot AGRO

Daniel J. Gonzalez, Mark C. Lesak, Andres H. Rodriguez +2

In this work we present a Four-Wheeled Independent Drive and Steering (4WIDS) robot named AGRO and a method of controlling its orientation while airborne using wheel reaction torqu…

cs.RO2020

A Monte Carlo Approach to Closing the Reality Gap

Damian Lyons, James Finocchiaro, Michael Novitzky +1

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 pro…