O. L. Miller

Papers

Total Citations

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About

O. L. Miller is a robotics researcher focused on human-robot interaction and multi-robot systems, with particular emphasis on augmented reality (AR) visualization and autonomous tracking in constrained environments. Their most significant contribution addresses the critical challenge of information transparency in human-robot teams—specifically, how to make autonomous robot perception understandable to human teammates. In their 2023 work on "Augmented Reality Visualization of Autonomous Mobile Robot Change Detection," Miller developed novel AR interfaces that translate complex robot sensor data into intuitive visual overlays, enabling humans to comprehend what robots perceive and how they make decisions in uninstrumented environments. This foundational paper has already garnered 7 citations, reflecting growing interest in explainable AI for robotics. Miller further advanced the field with their 2024 study on "Heterogeneous Multi-Robot Person-Following in Constrained Environments," which tackles the practical problem of using diverse robotic platforms to autonomously track moving individuals through altitude-limited spaces—a capability with applications ranging from security monitoring to social assistance. This work demonstrates Miller's commitment to solving real-world deployment challenges while maintaining rigorous technical standards. Their research sits at the intersection of perception, human-robot teaming, and practical autonomy, making significant strides toward robots that can both operate independently and communicate their reasoning effectively to human partners.