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About

Larry Bunch is a leading researcher in human-agent-robot teamwork, ontology-based policy management, and adjustable autonomy, whose work has fundamentally shaped how humans and autonomous systems collaborate. As a key member of the Florida Institute for Human and Machine Cognition (IHMC), Bunch contributed to the team’s victory in the DARPA Virtual Robotics Challenge (2013), a landmark achievement in robotics that demonstrated coordinated task execution across driving, terrain navigation, and manipulation—a paper that has garnered 86 citations. His pioneering work on the KAoS policy management framework (81 citations) introduced semantically-rich ontological reasoning to specify, analyze, and enforce policies, increasing the practicality and comprehensiveness of autonomous system governance. Bunch’s research on teamwork-centered autonomy, detailed in highly cited works like “From Tools to Teammates” and “Coordination in Human-Agent-Robot Teamwork,” has advanced the understanding of dynamic regulation, roles, and communication in multi-team human-robot field exercises. His exploration of adjustable autonomy’s multi-dimensional nature has provided foundational terminology and concepts for the field. With over 200 total citations, Bunch’s contributions continue to influence space applications, field robotics, and the future of human-machine teaming.