Daniel P. Baxter

Papers

Total Citations

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About

Daniel P. Baxter is a researcher at the forefront of human-swarm teaming (HST), a field that explores how humans can effectively collaborate with autonomous robot swarms. His work centers on the critical challenge of bi-directional information flow—ensuring that both the human operator and the swarm can communicate and adapt to each other’s needs in real time. In his most-cited paper, "On the Premise of a Swarm Guidance Ontology for Human-Swarm Teaming" (2022), Baxter proposes a structured framework for this communication, addressing how swarms can relay complex environmental data to humans while receiving only the essential guidance needed for autonomous decision-making. This foundational work, though early in its citation impact, lays the groundwork for more intuitive and scalable human-swarm interfaces. Baxter’s research is vital for applications ranging from disaster response to military operations, where seamless human oversight of large autonomous teams is critical. His contributions are shaping the next generation of collaborative autonomous systems, making him a key voice in the evolving dialogue between human cognition and swarm intelligence.