Jamison McGinley
Papers
3
Total Citations
41
H-Index
3
About
Jamison McGinley is a leading researcher at the intersection of autonomous systems, human-robot teaming, and decision-making under uncertainty. Their work focuses on enabling robots to actively model, communicate, and act on semantic “soft data”—a critical capability for collaborative human-autonomy systems. McGinley’s major contributions include the development of the HARPS (Human-Assisted Robotic Planning and Sensing) framework, an online POMDP-based approach that formally integrates human input into robotic planning and active sensing. This work, published in 2023, has already garnered 11 citations for addressing a long-standing challenge in human-robot collaboration. Their foundational paper on collaborative human-autonomy semantic sensing through structured POMDP planning (2021) remains their most cited work with 21 citations, establishing a formal foundation for the field. McGinley has also advanced competency self-assessment for autonomous vehicles using deep reinforcement learning (2022, 9 citations), addressing the critical issue of appropriate human trust in autonomous systems. This work, presented at a major AIAA conference, demonstrates their commitment to safe and trustworthy autonomy. Through these contributions, McGinley is shaping how autonomous robots can effectively partner with humans in complex, uncertain environments.
Research Focus
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Top Papers
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