Jack Henderson

Papers

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About

Jack Henderson is a robotics researcher whose work lies at the intersection of perception, communication, and multi-agent coordination. His primary research areas include event-based vision, optical communication for robotics, and distributed state estimation. Henderson’s most notable contribution is the development of “Smart Visual Beacons” that leverage event cameras—bio-inspired sensors with exceptional temporal resolution and dynamic range—to enable asynchronous optical communication and robust visual target tracking. This work, published in 2022, has already garnered 18 citations, reflecting its impact on the emerging field of neuromorphic sensing for robotics. In earlier work, Henderson introduced a novel “Minimum Energy Filter” for distributed multirobot localization, applying optimal estimation theory to enable teams of robots to cooperatively estimate their poses using shared information and landmark observations. While this 2020 paper has received fewer citations, it demonstrates his foundational contributions to scalable, communication-efficient multi-robot systems. Henderson’s research is particularly relevant for applications requiring low-latency, high-bandwidth coordination in visually challenging environments, such as drone swarms or autonomous search-and-rescue teams. His work continues to push the boundaries of how robots perceive and communicate in dynamic, unstructured settings.