Marshal Childers
Papers
10
Total Citations
65
H-Index
4
About
Marshal Childers is a leading researcher in robotics and autonomous systems, with a focus on human-robot teaming, multi-agent coordination, and integrated intelligence. His work has been instrumental in advancing the U.S. Army Research Laboratory’s Robotics Collaborative Technology Alliance (RCTA), where he has driven efforts to transform robots from simple tools into capable teammates for soldiers. Childers’ most cited paper, “An agent-based modeling framework for the multi-UAV rendezvous recharging problem” (2023, 18 citations), introduces a novel approach to managing unmanned aerial vehicle operations, addressing critical challenges in autonomous logistics and energy management. His earlier work, “Integrated Intelligence for Human-Robot Teams” (2017, 18 citations), explores how cognitive architectures can enhance collaboration between humans and robots, a cornerstone of modern robotics research. Childers has also contributed to performance evaluation of semantic perception classifiers and assessments of unmanned ground vehicle tactical behaviors, with his research cited over 60 times. His leadership in capstone experiments and technology assessments has shaped the direction of military robotics, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integrated Intelligence for Human-Robot Teams18 citations · 2017
- 3Performance Evaluation of a Semantic Perception Classifier9 citations · 2013
- 4RCTA capstone assessment4 citations · 2015
- 5
- 6Unmanned Ground Vehicle Two-Level Planning Technology Assessment3 citations · 2010
- 7
- 8Assessing the impact of bi-directional information flow in UGV operation3 citations · 2007
- 9Assessment of Navigation Using a Hybrid Cognitive/Metric World Model2 citations · 2015
- 10Assessing unmanned ground vehicle tactical behaviors performance2 citations · 2010