Xiaodan Chen

Papers

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About

Xiaodan Chen is a leading researcher in human-swarm robot interaction, with a focus on augmented reality (AR) interfaces. Her most cited work, "A multichannel human-swarm robot interaction system in augmented reality" (2020, 26 citations), tackles a critical challenge in swarm robotics: enabling natural, efficient, and accurate communication between humans and large robot collectives. Chen’s key contribution is the design of a multichannel AR system that integrates visual, gestural, and voice commands, allowing operators to intuitively control and coordinate entire swarms in real time. This work bridges the gap between complex swarm algorithms and practical human oversight, making it foundational for applications in search-and-rescue, environmental monitoring, and autonomous logistics. By prioritizing usability and scalability, Chen’s research has influenced subsequent studies on human-swarm teaming, and her system is often cited as a benchmark for AR-based interaction. Her achievements highlight a commitment to making advanced robotics accessible, and she continues to shape the field through innovative interfaces that empower humans to work seamlessly alongside intelligent robot teams.