28 citations · 39 across the 4 of their papers we have counts for
4 papers
Non-Prehensile Aerial Manipulation using Model-Based Deep Reinforcement Learning
Cora A. Dimmig, Marin Kobilarov
With the continual adoption of Uncrewed Aerial Vehicles (UAVs) across a wide-variety of application spaces, robust aerial manipulation remains a key research challenge. Aerial mani…
Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons
Cora A. Dimmig, Giuseppe Silano, Kimberly McGuire +4
Uncrewed Aerial Vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vi…
A Small Form Factor Aerial Research Vehicle for Pick-and-Place Tasks with Onboard Real-Time Object Detection and Visual Odometry
Cora A. Dimmig, Anna Goodridge, Gabriel Baraban +3
This paper introduces a novel, small form-factor, aerial vehicle research platform for agile object detection, classification, tracking, and interaction tasks. General-purpose hard…
Multi-Robot Planning on Dynamic Topological Graphs using Mixed-Integer Programming
Cora A. Dimmig, Kevin C. Wolfe, Joseph Moore
Planning for multi-robot teams in complex environments is a challenging problem, especially when these teams must coordinate to accomplish a common objective. In general, optimal s…