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About

Dmitry Devitt is a robotics researcher whose work sits at the intersection of human-robot interaction, multi-robot systems, and aerial vehicle control. His most impactful contribution, the 2020 paper "Multi robots interactive control using mixed reality" (31 citations), introduces a framework that allows operators to intuitively command diverse robotic platforms—including industrial manipulators, mobile robots, and UAVs—through mixed reality interfaces, fundamentally advancing how humans interact with multiple robots simultaneously. Devitt has also made significant strides in quadrotor control, developing an optimization-based trajectory tracking method that combines planning and controlling paradigms for precise slow-speed maneuvers. His innovative approach to tensegrity drone path planning, which simultaneously determines both trajectory and structural deformation sequences using mixed-integer variables, represents a novel contribution to morphing robotics. This work eliminates the need for conservative bounding surfaces that constrained previous methods. With a research portfolio spanning from practical human-robot interfaces to theoretical control optimization, Devitt demonstrates a rare ability to bridge applied interaction design with rigorous mathematical planning, making his work valuable for both industrial applications and academic robotics research.