activity
20182023
most citedFlexible Supervised Autonomy for Exploration in Subterranean Environments

18 citations · 22 across the 6 of their papers we have counts for

collaborators

6 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.MA2022★ 1 cited

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge

Harel Biggie, Steve McGuire

Implementing a wireless mesh network in a real-life scenario requires a significant systems engineering effort to turn a network concept into a complete system. This paper presents…

cs.HC2021

A Virtual Reality Simulation Pipeline for Online Mental Workload Modeling

Robert L. Wilson, Daniel Browne, Jonathan Wagstaff +1

Seamless human robot interaction (HRI) and cooperative human-robot (HR) teaming critically rely upon accurate and timely human mental workload (MW) models. Cognitive Load Theory (C…

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★ 3 cited

Toward a Wearable Biosensor Ecosystem on ROS 2 for Real-time Human-Robot Interaction Systems

Wonse Jo, Robert Wilson, Jaeeun Kim +2

Wearable biosensors can enable continuous human data capture, facilitating development of real-world Human-Robot Interaction (HRI) systems. However, a lack of standardized librarie…

cs.RO2018

Extrinisic Calibration of a Camera-Arm System Through Rotation Identification

Steve McGuire, Christoffer Heckman, Daniel Szafir +2

Determining extrinsic calibration parameters is a necessity in any robotic system composed of actuators and cameras. Once a system is outside the lab environment, parameters must b…