Dominic Larkin

United States Military Academy

Papers

2

Total Citations

22

H-Index

2

About

Dominic Larkin’s research sits at the fraught intersection of automated systems, law enforcement, and human-robot teaming, probing both the technical and ethical dimensions of autonomous decision-making. His most influential work, “Confronting automated law enforcement” (2016, 18 citations), is a prescient call for a cohesive framework to govern systems where sensors, algorithms, and robotics converge to detect violations and administer punishment. This paper has become a foundational reference for scholars examining the societal risks of unregulated enforcement automation. More recently, Larkin has advanced practical human-robot collaboration in high-stakes environments. His 2021 paper, “ATAK Integration through ROS for Autonomous Air-ground Team” (4 citations), demonstrates a novel methodology for integrating the Android Team Awareness Kit (ATAK) with a ROS-based heterogeneous team of a quadrotor and unmanned ground vehicle for search and rescue missions. By enabling intuitive human oversight of autonomous air-ground teams, this work bridges the gap between cutting-edge robotics and real-world operational needs. Larkin’s dual focus—from critiquing automated policing to engineering safer human-robot systems—marks him as a thoughtful voice shaping both policy and technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Confronting automated law enforcement
18 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: United States Military Academy

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago