activity
20202023
most citedFlexible Supervised Autonomy for Exploration in Subterranean Environments

18 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 18 cited

Flexible Supervised Autonomy for Exploration in Subterranean Environments

Harel Biggie, Eugene R. Rush, Danny G. Riley +9

While the capabilities of autonomous systems have been steadily improving in recent years, these systems still struggle to rapidly explore previously unknown environments without t…

cs.RO2021

Multi-Agent Autonomy: Advancements and Challenges in Subterranean Exploration

Michael T. Ohradzansky, Eugene R. Rush, Danny G. Riley +9

Artificial intelligence has undergone immense growth and maturation in recent years, though autonomous systems have traditionally struggled when fielded in diverse and previously u…

cs.RO2021

3D Reactive Control and Frontier-Based Exploration for Unstructured Environments

Shakeeb Ahmad, Andrew B. Mills, Eugene R. Rush +2

The paper proposes a reliable and robust planning solution to the long range robotic navigation problem in extremely cluttered environments. A two-layer planning architecture is pr…

cs.RO2020★ 7 cited

Real-time Quadrotor Navigation Through Planning in Depth Space in Unstructured Environments

Shakeeb Ahmad, Rafael Fierro

This paper addresses the problem of real-time vision-based autonomous obstacle avoidance in unstructured environments for quadrotor UAVs. We assume that our UAV is equipped with a…

cs.RO2020

APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance

Shakeeb Ahmad, Zachary N. Sunberg, J. Sean Humbert

This paper proposes a framework for 3D obstacle avoidance in the presence of partial observability of environment obstacles. The method focuses on the utility of the Artificial Pot…